Overview

Dataset info

Number of variables106
Number of observations8533
Missing cells114704 (12.7%)
Duplicate rows0 (0.0%)
Total size in memory74.3 MiB
Average record size in memory8.9 KiB

Variables types

CAT46
NUM42
BOOL8
UNSUPPORTED5
URL5

Reproduction info

Date of analysis2020-01-22 04:47:27.825559
Versionpandas-profiling v2.4.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download Configurationconfig.yaml

Warnings

access has 3244 (38.0%) missing values Missing
access has a high cardinality: 4340 distinct values Warning
amenities has a high cardinality: 7171 distinct values Warning
availability_30 has 2913 (34.1%) zeros Zeros
availability_365 has 1610 (18.9%) zeros Zeros
availability_60 has 2325 (27.2%) zeros Zeros
availability_90 has 2055 (24.1%) zeros Zeros
bedrooms has 864 (10.1%) zeros Zeros
beds has 184 (2.2%) zeros Zeros
calculated_host_listings_count_entire_homes has 2603 (30.5%) zeros Zeros
calculated_host_listings_count_private_rooms has 4439 (52.0%) zeros Zeros
calculated_host_listings_count_shared_rooms has 8041 (94.2%) zeros Zeros
calendar_updated has a high cardinality: 66 distinct values Warning
cleaning_fee has 959 (11.2%) missing values Missing
cleaning_fee has a high cardinality: 195 distinct values Warning
country has constant value "United States" Rejected
country_code has constant value "US" Rejected
description has a high cardinality: 7495 distinct values Warning
experiences_offered has constant value "none" Rejected
extra_people has a high cardinality: 81 distinct values Warning
first_review has 1891 (22.2%) missing values Missing
first_review has a high cardinality: 2278 distinct values Warning
has_availability has constant value "t" Rejected
host_about has 2155 (25.3%) missing values Missing
host_about has a high cardinality: 3154 distinct values Warning
host_acceptance_rate has 8533 (100.0%) missing values Missing
host_acceptance_rate is an unsupported type, check if it needs cleaning or further analysis Warning
host_listings_count has 497 (5.8%) zeros Zeros
host_location has a high cardinality: 182 distinct values Warning
host_name has a high cardinality: 2183 distinct values Warning
host_neighbourhood has 565 (6.6%) missing values Missing
host_neighbourhood has a high cardinality: 139 distinct values Warning
host_response_rate has 1000 (11.7%) missing values Missing
host_response_time has 1000 (11.7%) missing values Missing
host_since has a high cardinality: 2353 distinct values Warning
host_total_listings_count has 497 (5.8%) zeros Zeros
host_verifications has a high cardinality: 256 distinct values Warning
house_rules has 2283 (26.8%) missing values Missing
house_rules has a high cardinality: 4389 distinct values Warning
interaction has 2804 (32.9%) missing values Missing
interaction has a high cardinality: 4245 distinct values Warning
is_business_travel_ready has constant value "f" Rejected
last_review has 1891 (22.2%) missing values Missing
last_review has a high cardinality: 879 distinct values Warning
license has 3243 (38.0%) missing values Missing
license has a high cardinality: 2578 distinct values Warning
maximum_maximum_nights is highly skewed (γ1 = 46.12635698) Skewed
maximum_minimum_nights is highly skewed (γ1 = 92.37423852) Skewed
maximum_nights is highly skewed (γ1 = 92.37406461) Skewed
maximum_nights_avg_ntm is highly skewed (γ1 = 46.12635698) Skewed
medium_url has 8533 (100.0%) missing values Missing
medium_url is an unsupported type, check if it needs cleaning or further analysis Warning
minimum_maximum_nights is highly skewed (γ1 = 46.12635698) Skewed
minimum_minimum_nights is highly skewed (γ1 = 92.37423875) Skewed
minimum_nights is highly skewed (γ1 = 92.37423875) Skewed
minimum_nights_avg_ntm is highly skewed (γ1 = 92.37423857) Skewed
monthly_price has 7507 (88.0%) missing values Missing
name has a high cardinality: 8172 distinct values Warning
neighborhood_overview has 2111 (24.7%) missing values Missing
neighborhood_overview has a high cardinality: 4692 distinct values Warning
neighbourhood has a high cardinality: 56 distinct values Warning
neighbourhood_group_cleansed has 8533 (100.0%) missing values Missing
neighbourhood_group_cleansed is an unsupported type, check if it needs cleaning or further analysis Warning
notes has 3317 (38.9%) missing values Missing
notes has a high cardinality: 3759 distinct values Warning
number_of_reviews has 1891 (22.2%) zeros Zeros
number_of_reviews_ltm has 2813 (33.0%) zeros Zeros
review_scores_accuracy has 1937 (22.7%) missing values Missing
review_scores_checkin has 1938 (22.7%) missing values Missing
review_scores_cleanliness has 1937 (22.7%) missing values Missing
review_scores_communication has 1936 (22.7%) missing values Missing
review_scores_location has 1938 (22.7%) missing values Missing
review_scores_rating has 1932 (22.6%) missing values Missing
review_scores_value has 1938 (22.7%) missing values Missing
reviews_per_month has 1891 (22.2%) missing values Missing
scrape_id has constant value "20191200000000.0" Rejected
security_deposit has 1759 (20.6%) missing values Missing
security_deposit has 2257 (26.5%) zeros Zeros
space has 1208 (14.2%) missing values Missing
space has a high cardinality: 5892 distinct values Warning
square_feet has 8407 (98.5%) missing values Missing
summary has 213 (2.5%) missing values Missing
summary has a high cardinality: 6789 distinct values Warning
thumbnail_url has 8533 (100.0%) missing values Missing
thumbnail_url is an unsupported type, check if it needs cleaning or further analysis Warning
transit has 2606 (30.5%) missing values Missing
transit has a high cardinality: 4661 distinct values Warning
weekly_price has 7480 (87.7%) missing values Missing
xl_picture_url has 8533 (100.0%) missing values Missing
xl_picture_url is an unsupported type, check if it needs cleaning or further analysis Warning
zipcode has 245 (2.9%) missing values Missing
availability_60 is highly correlated with availability_30 and 1 other fieldsHigh Correlation
availability_30 is highly correlated with availability_60High Correlation
availability_90 is highly correlated with availability_60High Correlation
calculated_host_listings_count_entire_homes is highly correlated with calculated_host_listings_countHigh Correlation
calculated_host_listings_count is highly correlated with calculated_host_listings_count_entire_homesHigh Correlation
host_total_listings_count is highly correlated with host_listings_countHigh Correlation
host_listings_count is highly correlated with host_total_listings_countHigh Correlation
maximum_nights is highly correlated with maximum_minimum_nights and 3 other fieldsHigh Correlation
maximum_minimum_nights is highly correlated with maximum_nights and 3 other fieldsHigh Correlation
maximum_nights_avg_ntm is highly correlated with maximum_maximum_nights and 1 other fieldsHigh Correlation
maximum_maximum_nights is highly correlated with maximum_nights_avg_ntm and 1 other fieldsHigh Correlation
minimum_maximum_nights is highly correlated with maximum_maximum_nights and 1 other fieldsHigh Correlation
minimum_minimum_nights is highly correlated with maximum_minimum_nights and 3 other fieldsHigh Correlation
minimum_nights is highly correlated with maximum_minimum_nights and 3 other fieldsHigh Correlation
minimum_nights_avg_ntm is highly correlated with maximum_minimum_nights and 3 other fieldsHigh Correlation
weekly_price is highly correlated with monthly_priceHigh Correlation
monthly_price is highly correlated with weekly_priceHigh Correlation
country_code is highly correlated with country and 4 other fieldsHigh Correlation
country is highly correlated with country_code and 4 other fieldsHigh Correlation
experiences_offered is highly correlated with country and 4 other fieldsHigh Correlation
has_availability is highly correlated with country and 4 other fieldsHigh Correlation
is_business_travel_ready is highly correlated with country and 4 other fieldsHigh Correlation
last_scraped is highly correlated with calendar_last_scrapedHigh Correlation
calendar_last_scraped is highly correlated with last_scrapedHigh Correlation
scrape_id is highly correlated with country and 4 other fieldsHigh Correlation

Variables

access
Categorical

MISSING
HIGH CARDINALITY
Distinct count4340
Unique (%)50.9%
Missing3244
Missing (%)38.0%
Memory size66.7 KiB
#NAME?
 
60
All guests enjoy full access to the kitchen and living room a.k.a. Communal Spaces. In addition we have a small library and a washer and dryer for complimentary use. All bathrooms are newly remodeled.
 
52
Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. On-site staff are on duty to provide further help during your stay.
 
51
This is a functioning hotel, guests can access all common areas including the lobby and fitness center. Guests will have a private hotel room with bathroom and mini-fridge.
 
37
- Self check-in from 4pm onwards. Self check-out at 11am. If you arrive early, you can leave your bags in our guest storage area on the ground floor until check-in time. - You will have access to your bedroom and all the shared spaces (main space, kitchen, lounge with sauna, shared bathrooms, and an office space). - Like its people, the space changes frequently and offers surprises and secrets at every turn. We welcome you to explore and discover its various experiences (but please leave shared spaces better than you found them!).
 
35
Other values (4334)
5054
ValueCountFrequency (%) 
#NAME? 60 0.7%
 
All guests enjoy full access to the kitchen and living room a.k.a. Communal Spaces. In addition we have a small library and a washer and dryer for complimentary use. All bathrooms are newly remodeled. 52 0.6%
 
Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. On-site staff are on duty to provide further help during your stay. 51 0.6%
 
This is a functioning hotel, guests can access all common areas including the lobby and fitness center. Guests will have a private hotel room with bathroom and mini-fridge. 37 0.4%
 
- Self check-in from 4pm onwards. Self check-out at 11am. If you arrive early, you can leave your bags in our guest storage area on the ground floor until check-in time. - You will have access to your bedroom and all the shared spaces (main space, kitchen, lounge with sauna, shared bathrooms, and an office space). - Like its people, the space changes frequently and offers surprises and secrets at every turn. We welcome you to explore and discover its various experiences (but please leave shared spaces better than you found them!). 35 0.4%
 
Outpost Club provides end-to-end co-living services to tech startups, entrepreneurs, digital nomads, freelancers, remote workers, professionals, students, and anyone looking to move to a new city and meet new people. Coliving is a shared housing model. Members share kitchens, living rooms, and other common spaces with all members, and have a private or shared bedrooms of your choice. Everything is included in our flat fee: utilities, wifi, furniture, appliances, kitchen supplies, and anything else you would need upon moving into a new place. All you need to bring is your suitcase. 31 0.4%
 
Guests will have full access to onsite amenities 28 0.3%
 
All guests have 24 hour access to the ballroom, kitchen and internet lounge! No curfews here :) 23 0.3%
 
You will have access to the entire property. 22 0.3%
 
Reservations will be secured and transferred in your name. You will have full access to the unit and all guest facilities. 21 0.2%
 
Other values (4329) 4929 57.8%
 
(Missing) 3244 38.0%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length128.1729755
Min length3
Scatter

accommodates
Real number (ℝ≥0)

Distinct count16
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.130434783
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.89781829
Coefficient of variation (CV)0.6062475094
Kurtosis5.339537993
Mean3.130434783
Median Absolute Deviation (MAD)1.467428245
Skewness1.834003858
Sum26712
Variance3.601714262
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 1. 1.5 2.5 3.5 4.5 ... 8.5 9.5 10.5 12.5 16. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
2 3898 45.7%
 
4 1677 19.7%
 
1 827 9.7%
 
3 709 8.3%
 
6 664 7.8%
 
5 358 4.2%
 
8 169 2.0%
 
7 105 1.2%
 
10 48 0.6%
 
9 24 0.3%
 
Other values (6) 54 0.6%
 
ValueCountFrequency (%) 
1 827 9.7%
 
2 3898 45.7%
 
3 709 8.3%
 
4 1677 19.7%
 
5 358 4.2%
 
ValueCountFrequency (%) 
16 7 0.1%
 
15 7 0.1%
 
14 5 0.1%
 
13 1 < 0.1%
 
12 23 0.3%
 

amenities
Categorical

HIGH CARDINALITY
Distinct count7171
Unique (%)84.0%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
{TV,"Cable TV",Wifi,"Air conditioning",Elevator,Heating,Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Hot water","Bed linens","Long term stays allowed",Other}
 
61
{TV,"Cable TV",Wifi,"Air conditioning",Gym,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Self check-in","Building staff","Private entrance","Hot water","Bed linens",Microwave,Refrigerator,"Luggage dropoff allowed"}
 
38
{TV,Elevator,Heating,"Smoke detector",Essentials}
 
27
{TV,Wifi,"Air conditioning",Kitchen,Gym,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance"}
 
25
{TV,"Cable TV","Air conditioning","Paid parking off premises",Gym,Elevator,Heating,"Family/kid friendly",Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,"24-hour check-in",Hangers,"Hair dryer",Iron,"Self check-in","Building staff","Hot water","Luggage dropoff allowed","Paid parking on premises"}
 
24
Other values (7166)
8358
ValueCountFrequency (%) 
{TV,"Cable TV",Wifi,"Air conditioning",Elevator,Heating,Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Hot water","Bed linens","Long term stays allowed",Other} 61 0.7%
 
{TV,"Cable TV",Wifi,"Air conditioning",Gym,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Self check-in","Building staff","Private entrance","Hot water","Bed linens",Microwave,Refrigerator,"Luggage dropoff allowed"} 38 0.4%
 
{TV,Elevator,Heating,"Smoke detector",Essentials} 27 0.3%
 
{TV,Wifi,"Air conditioning",Kitchen,Gym,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance"} 25 0.3%
 
{TV,"Cable TV","Air conditioning","Paid parking off premises",Gym,Elevator,Heating,"Family/kid friendly",Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,"24-hour check-in",Hangers,"Hair dryer",Iron,"Self check-in","Building staff","Hot water","Luggage dropoff allowed","Paid parking on premises"} 24 0.3%
 
{TV,Wifi,Kitchen,"Pets allowed",Gym,Elevator,"Free street parking",Heating,Washer,Dryer,"Smoke detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Long term stays allowed","Host greets you"} 24 0.3%
 
{TV,"Cable TV",Wifi,"Air conditioning",Kitchen,"Free parking on premises","Paid parking off premises","Indoor fireplace",Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Hot water","Bed linens","Extra pillows and blankets",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Luggage dropoff allowed","Long term stays allowed"} 24 0.3%
 
{TV,Internet,Wifi,Kitchen,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Hangers,Iron,"Laptop friendly workspace","Hot water","Bed linens","Extra pillows and blankets",Microwave,"Coffee maker",Refrigerator,"Dishes and silverware","Cooking basics",Oven,Stove,"Long term stays allowed",Other} 22 0.3%
 
{TV,"Cable TV",Internet,Wifi,"Air conditioning","Wheelchair accessible",Gym,Elevator,"Hot tub",Heating,"Family/kid friendly","Smoke detector","Carbon monoxide detector",Essentials,Shampoo,"24-hour check-in",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in","Building staff"} 21 0.2%
 
{TV,"Cable TV",Wifi,Kitchen,"Pets allowed",Gym,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"BBQ grill","Patio or balcony","Long term stays allowed","Host greets you","Paid parking on premises"} 21 0.2%
 
Other values (7161) 8246 96.6%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1402
Mean length401.2942693
Min length2
Scatter

availability_30
Real number (ℝ≥0)

ZEROS
HIGH CORRELATION
Distinct count31
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.96636587
Minimum0
Maximum30
Zeros2913
Zeros (%)34.1%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q321
95-th percentile30
Maximum30
Range30
Interquartile range (IQR)21

Descriptive statistics

Standard deviation11.24610339
Coefficient of variation (CV)1.02550868
Kurtosis-1.2768363
Mean10.96636587
Median Absolute Deviation (MAD)10.0300827
Skewness0.5165802468
Sum93576
Variance126.4748414
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 1.5 2.5 3.5 ... 23.5 26.5 28.5 29.5 30. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 2913 34.1%
 
30 786 9.2%
 
29 373 4.4%
 
2 304 3.6%
 
1 225 2.6%
 
13 202 2.4%
 
3 200 2.3%
 
12 193 2.3%
 
28 186 2.2%
 
23 185 2.2%
 
Other values (21) 2966 34.8%
 
ValueCountFrequency (%) 
0 2913 34.1%
 
1 225 2.6%
 
2 304 3.6%
 
3 200 2.3%
 
4 166 1.9%
 
ValueCountFrequency (%) 
30 786 9.2%
 
29 373 4.4%
 
28 186 2.2%
 
27 139 1.6%
 
26 75 0.9%
 

availability_365
Real number (ℝ≥0)

ZEROS
Distinct count366
Unique (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.997539
Minimum0
Maximum365
Zeros1610
Zeros (%)18.9%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q113
median112
Q3304
95-th percentile365
Maximum365
Range365
Interquartile range (IQR)291

Descriptive statistics

Standard deviation136.8585532
Coefficient of variation (CV)0.9003997969
Kurtosis-1.440090134
Mean151.997539
Median Absolute Deviation (MAD)122.8131565
Skewness0.362371116
Sum1296995
Variance18730.26359
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 1.5 10.5 30.5 ... 338.5 345.5 363.5 364.5 365. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 1610 18.9%
 
365 490 5.7%
 
364 161 1.9%
 
1 106 1.2%
 
90 97 1.1%
 
179 88 1.0%
 
180 87 1.0%
 
337 84 1.0%
 
88 79 0.9%
 
89 71 0.8%
 
Other values (356) 5660 66.3%
 
ValueCountFrequency (%) 
0 1610 18.9%
 
1 106 1.2%
 
2 43 0.5%
 
3 50 0.6%
 
4 53 0.6%
 
ValueCountFrequency (%) 
365 490 5.7%
 
364 161 1.9%
 
363 47 0.6%
 
362 44 0.5%
 
361 21 0.2%
 

availability_60
Real number (ℝ≥0)

ZEROS
HIGH CORRELATION
Distinct count61
Unique (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.39317942
Minimum0
Maximum60
Zeros2325
Zeros (%)27.2%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q10
median24
Q346
95-th percentile60
Maximum60
Range60
Interquartile range (IQR)46

Descriptive statistics

Standard deviation22.50899149
Coefficient of variation (CV)0.8864187945
Kurtosis-1.473916483
Mean25.39317942
Median Absolute Deviation (MAD)20.27680898
Skewness0.2225403767
Sum216680
Variance506.654698
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 1.5 4.5 26.5 ... 53.5 56.5 58.5 59.5 60. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 2325 27.2%
 
60 706 8.3%
 
59 341 4.0%
 
1 210 2.5%
 
32 207 2.4%
 
58 141 1.7%
 
53 127 1.5%
 
43 123 1.4%
 
28 118 1.4%
 
33 118 1.4%
 
Other values (51) 4117 48.2%
 
ValueCountFrequency (%) 
0 2325 27.2%
 
1 210 2.5%
 
2 111 1.3%
 
3 85 1.0%
 
4 87 1.0%
 
ValueCountFrequency (%) 
60 706 8.3%
 
59 341 4.0%
 
58 141 1.7%
 
57 95 1.1%
 
56 51 0.6%
 

availability_90
Real number (ℝ≥0)

ZEROS
HIGH CORRELATION
Distinct count91
Unique (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.70959803
Minimum0
Maximum90
Zeros2055
Zeros (%)24.1%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q11
median44
Q375
95-th percentile90
Maximum90
Range90
Interquartile range (IQR)74

Descriptive statistics

Standard deviation34.47355466
Coefficient of variation (CV)0.8265137112
Kurtosis-1.58715656
Mean41.70959803
Median Absolute Deviation (MAD)31.56083004
Skewness0.0389093125
Sum355908
Variance1188.425971
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 1.5 4.5 10.5 ... 86.5 87.5 88.5 89.5 90. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 2055 24.1%
 
90 693 8.1%
 
89 326 3.8%
 
62 178 2.1%
 
88 141 1.7%
 
1 132 1.5%
 
83 118 1.4%
 
31 111 1.3%
 
73 110 1.3%
 
77 101 1.2%
 
Other values (81) 4568 53.5%
 
ValueCountFrequency (%) 
0 2055 24.1%
 
1 132 1.5%
 
2 97 1.1%
 
3 83 1.0%
 
4 78 0.9%
 
ValueCountFrequency (%) 
90 693 8.1%
 
89 326 3.8%
 
88 141 1.7%
 
87 91 1.1%
 
86 52 0.6%
 

bathrooms
Real number (ℝ≥0)

Distinct count19
Unique (%)0.2%
Missing5
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.403494371
Minimum0.0
Maximum14.0
Zeros27
Zeros (%)0.3%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31.5
95-th percentile3
Maximum14
Range14
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.9312333119
Coefficient of variation (CV)0.6635105425
Kurtosis29.20808809
Mean1.403494371
Median Absolute Deviation (MAD)0.5794968467
Skewness4.371187794
Sum11969
Variance0.8671954811
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 5983 70.1%
 
2 1160 13.6%
 
1.5 592 6.9%
 
2.5 239 2.8%
 
3 171 2.0%
 
5 122 1.4%
 
4 82 1.0%
 
3.5 67 0.8%
 
0 27 0.3%
 
10 23 0.3%
 
Other values (8) 62 0.7%
 
ValueCountFrequency (%) 
0 27 0.3%
 
0.5 21 0.2%
 
1 5983 70.1%
 
1.5 592 6.9%
 
2 1160 13.6%
 
ValueCountFrequency (%) 
14 1 < 0.1%
 
10 23 0.3%
 
8 9 0.1%
 
7 5 0.1%
 
6.5 1 < 0.1%
 

bed_type
Categorical

Distinct count5
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
Real Bed
8461
Futon
 
32
Pull-out Sofa
 
21
Airbed
 
12
Couch
 
7
ValueCountFrequency (%) 
Real Bed 8461 99.2%
 
Futon 32 0.4%
 
Pull-out Sofa 21 0.2%
 
Airbed 12 0.1%
 
Couch 7 0.1%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length13
Mean length7.995781085
Min length5
Scatter

bedrooms
Real number (ℝ≥0)

ZEROS
Distinct count13
Unique (%)0.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.33880422
Minimum0.0
Maximum16.0
Zeros864
Zeros (%)10.1%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
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Range16
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Descriptive statistics

Standard deviation0.9272300869
Coefficient of variation (CV)0.6925807917
Kurtosis14.11420689
Mean1.33880422
Median Absolute Deviation (MAD)0.6835778557
Skewness2.051452143
Sum11420
Variance0.8597556341
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 5191 60.8%
 
2 1534 18.0%
 
0 864 10.1%
 
3 693 8.1%
 
4 197 2.3%
 
5 36 0.4%
 
6 10 0.1%
 
9 1 < 0.1%
 
16 1 < 0.1%
 
8 1 < 0.1%
 
Other values (2) 2 < 0.1%
 
(Missing) 3 < 0.1%
 
ValueCountFrequency (%) 
0 864 10.1%
 
1 5191 60.8%
 
2 1534 18.0%
 
3 693 8.1%
 
4 197 2.3%
 
ValueCountFrequency (%) 
16 1 < 0.1%
 
14 1 < 0.1%
 
9 1 < 0.1%
 
8 1 < 0.1%
 
7 1 < 0.1%
 

beds
Real number (ℝ≥0)

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Infinite (%)0.0%
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Zeros (%)2.2%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
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Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.187166593
Coefficient of variation (CV)0.6876850128
Kurtosis9.552043718
Mean1.726323202
Median Absolute Deviation (MAD)0.8746105513
Skewness2.333403301
Sum14710
Variance1.409364519
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 4693 55.0%
 
2 2117 24.8%
 
3 836 9.8%
 
4 428 5.0%
 
0 184 2.2%
 
5 147 1.7%
 
6 50 0.6%
 
7 33 0.4%
 
8 22 0.3%
 
9 3 < 0.1%
 
Other values (5) 8 0.1%
 
(Missing) 12 0.1%
 
ValueCountFrequency (%) 
0 184 2.2%
 
1 4693 55.0%
 
2 2117 24.8%
 
3 836 9.8%
 
4 428 5.0%
 
ValueCountFrequency (%) 
14 2 < 0.1%
 
13 1 < 0.1%
 
12 1 < 0.1%
 
11 1 < 0.1%
 
10 3 < 0.1%
 

calculated_host_listings_count
Real number (ℝ≥0)

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Memory size66.7 KiB
Mini histogram

Quantile statistics

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5-th percentile1
Q11
median2
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95-th percentile253
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Descriptive statistics

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Coefficient of variation (CV)2.378475478
Kurtosis6.375039265
Mean27.76081097
Median Absolute Deviation (MAD)39.37380245
Skewness2.805812296
Sum236883
Variance4359.750682
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 1. 1.5 2.5 3.5 4.5 ... 87.5 152.5 228.5 253.5 254. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
1 3258 38.2%
 
2 1292 15.1%
 
3 609 7.1%
 
4 432 5.1%
 
5 340 4.0%
 
254 254 3.0%
 
253 253 3.0%
 
204 204 2.4%
 
35 105 1.2%
 
26 104 1.2%
 
Other values (31) 1682 19.7%
 
ValueCountFrequency (%) 
1 3258 38.2%
 
2 1292 15.1%
 
3 609 7.1%
 
4 432 5.1%
 
5 340 4.0%
 
ValueCountFrequency (%) 
254 254 3.0%
 
253 253 3.0%
 
204 204 2.4%
 
101 101 1.2%
 
74 74 0.9%
 

calculated_host_listings_count_entire_homes
Real number (ℝ≥0)

ZEROS
HIGH CORRELATION
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Unique (%)0.3%
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Infinite0
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Mini histogram

Quantile statistics

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Q10
median1
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Descriptive statistics

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Coefficient of variation (CV)2.758762645
Kurtosis7.529329031
Mean21.3816946
Median Absolute Deviation (MAD)34.46352709
Skewness2.972370535
Sum182450
Variance3479.468568
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 1.5 2.5 3.5 ... 31.5 38. 133. 229. 254. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
1 3353 39.3%
 
0 2603 30.5%
 
2 654 7.7%
 
254 254 3.0%
 
166 253 3.0%
 
204 204 2.4%
 
3 196 2.3%
 
4 116 1.4%
 
100 101 1.2%
 
11 100 1.2%
 
Other values (15) 699 8.2%
 
ValueCountFrequency (%) 
0 2603 30.5%
 
1 3353 39.3%
 
2 654 7.7%
 
3 196 2.3%
 
4 116 1.4%
 
ValueCountFrequency (%) 
254 254 3.0%
 
204 204 2.4%
 
166 253 3.0%
 
100 101 1.2%
 
74 74 0.9%
 
Distinct count28
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
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Memory size66.7 KiB
Mini histogram

Quantile statistics

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5-th percentile0
Q10
median0
Q32
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Descriptive statistics

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Kurtosis18.27237758
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Median Absolute Deviation (MAD)7.849692817
Skewness4.26190507
Sum45669
Variance252.0230259
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 1.5 2.5 3.5 ... 30. 32.5 42.5 66.5 87. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
0 4439 52.0%
 
1 1448 17.0%
 
2 584 6.8%
 
3 465 5.4%
 
87 253 3.0%
 
4 237 2.8%
 
5 169 2.0%
 
9 80 0.9%
 
31 78 0.9%
 
6 77 0.9%
 
Other values (18) 703 8.2%
 
ValueCountFrequency (%) 
0 4439 52.0%
 
1 1448 17.0%
 
2 584 6.8%
 
3 465 5.4%
 
4 237 2.8%
 
ValueCountFrequency (%) 
87 253 3.0%
 
46 46 0.5%
 
39 46 0.5%
 
34 37 0.4%
 
31 78 0.9%
 
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Mini histogram

Quantile statistics

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Q10
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Descriptive statistics

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Coefficient of variation (CV)4.96948896
Kurtosis33.78646235
Mean0.6750263682
Median Absolute Deviation (MAD)1.272210718
Skewness5.70986881
Sum5760
Variance11.25291234
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 0. 0.5 1.5 6. 8.5 15. 21. 26. ], "bayesian blocks" binning strategy used)
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1 56 0.7%
 
8 52 0.6%
 
7 46 0.5%
 
23 45 0.5%
 
26 43 0.5%
 
14 28 0.3%
 
16 25 0.3%
 
4 24 0.3%
 
2 24 0.3%
 
Other values (9) 149 1.7%
 
ValueCountFrequency (%) 
0 8041 94.2%
 
1 56 0.7%
 
2 24 0.3%
 
3 12 0.1%
 
4 24 0.3%
 
ValueCountFrequency (%) 
26 43 0.5%
 
23 45 0.5%
 
22 22 0.3%
 
20 20 0.2%
 
16 25 0.3%
 

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4 weeks ago 390 4.6%
 
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543
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$150.00 543 6.4%
 
$0.00 501 5.9%
 
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$75.00 345 4.0%
 
$200.00 293 3.4%
 
$30.00 287 3.4%
 
$95.00 269 3.2%
 
$125.00 264 3.1%
 
$25.00 232 2.7%
 
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(Missing) 959 11.2%
 

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At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. Enjoy a stay with Zeus! We have 1375+ reviews (see below). At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable.
 
50
A hip laid back place to stay in downtown San Francisco with a great location!
 
43
An urban oasis awaits. Your comfortable hotel room is close to Moscone Center and provides the ease of a hotel stay for the discerning business traveler. Larger room than usual in San Francisco. Friendly onsite staff ready to help 24/7. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. Microwave and mini fridge in each room. Queen size bed and full private bathroom. Bag storage at front desk before and after your stay. Offering the lowest rates for a business class hotel near Moscone Center. ***Three night minimum stay during peak weeks. I would be thrilled to host you, book now! A comfortable urban oasis in a full service hotel. This hotel room provides a queen size bed and full private bathroom. Ground floor amenities include a pleasant lobby complete with a cozy fireplace, a guest laundry room, and a fully equipped exercise room. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. On-site staff are on duty to
 
38
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Fresh towels and bathroom essentials provided - Hotel-standard cleaning before you arrive - Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport The Tenderloin District is situated between the Union Square shopping district and the Civic Center office district. Known for its art
 
37
The Donatello is a timeshare/hotel which is one of the top hotels in San Francisco. Just show up and check in like any other hotel, no arranging to get keys necessary. - 1 KING BED and 1 QUEEN SLEEPER SOFA - Parking: $32 per night DESCRIPTION With 400 square feet of space and 10 foot ceilings, these rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including wet-bar and sink, compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. No rollaways are available. Services & Amenities: Spacious studio accommodations 24-hour front desk Concierge services Intimate Italian dining at Zingari Ristorante Indoor valet parking ($32 per night, unlimited in and out privileges) Meeting facilities Dry cleaning services (fee) Rooftop deck Fireplace Exercise facility (7AM - 1030PM) Hot tub Sauna Spa services (fee) ATM machine Interne
 
28
Other values (7489)
8296
ValueCountFrequency (%) 
At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. Enjoy a stay with Zeus! We have 1375+ reviews (see below). At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. 50 0.6%
 
A hip laid back place to stay in downtown San Francisco with a great location! 43 0.5%
 
An urban oasis awaits. Your comfortable hotel room is close to Moscone Center and provides the ease of a hotel stay for the discerning business traveler. Larger room than usual in San Francisco. Friendly onsite staff ready to help 24/7. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. Microwave and mini fridge in each room. Queen size bed and full private bathroom. Bag storage at front desk before and after your stay. Offering the lowest rates for a business class hotel near Moscone Center. ***Three night minimum stay during peak weeks. I would be thrilled to host you, book now! A comfortable urban oasis in a full service hotel. This hotel room provides a queen size bed and full private bathroom. Ground floor amenities include a pleasant lobby complete with a cozy fireplace, a guest laundry room, and a fully equipped exercise room. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. On-site staff are on duty to 38 0.4%
 
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Fresh towels and bathroom essentials provided - Hotel-standard cleaning before you arrive - Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport The Tenderloin District is situated between the Union Square shopping district and the Civic Center office district. Known for its art 37 0.4%
 
The Donatello is a timeshare/hotel which is one of the top hotels in San Francisco. Just show up and check in like any other hotel, no arranging to get keys necessary. - 1 KING BED and 1 QUEEN SLEEPER SOFA - Parking: $32 per night DESCRIPTION With 400 square feet of space and 10 foot ceilings, these rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including wet-bar and sink, compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. No rollaways are available. Services & Amenities: Spacious studio accommodations 24-hour front desk Concierge services Intimate Italian dining at Zingari Ristorante Indoor valet parking ($32 per night, unlimited in and out privileges) Meeting facilities Dry cleaning services (fee) Rooftop deck Fireplace Exercise facility (7AM - 1030PM) Hot tub Sauna Spa services (fee) ATM machine Interne 28 0.3%
 
More than a house, we are a startup founders community. We host entrepreneurs, but also engineers and students who want to start their own business. Live, learn and achieve, while getting the full Silicon Valley experience! Our House is professionally cleaned twice a week. Upon booking, please introduce yourself as well as your startup (or dream) to us, thanks and welcome to our community! Why should you stay with us? The People The Startup House community attracts many talented individuals from around the world. From Stanford students, to developers and entrepreneurs, we provide each with a unique opportunity to network, connect with likeminded people or just make interesting new friends. Share experiences and engaging conversations with our guests, while learning and achieving your goals. The House Each house is conveniently furnished to guarantee you a comfortable stay. Through our 5 locations, everything is done so that you can work, relax, and study. The San Francisco Downtown S 27 0.3%
 
More than a house, we are a startup founders community. We host entrepreneurs, but also engineers and students who want to start their own business. Live, learn and achieve, while getting the full Silicon Valley experience ! This house is our latest location in San Francisco, located right next to Alamo Square Park. The house is very comfortable and full of light, and is furnished with beds and living utensils. Our House is professionally cleaned twice a week. Welcome to our community! Why should you stay with us? The People The Startup House community attracts many talented individuals from around the world. From Stanford students, to developers and entrepreneurs, we provide each with a unique opportunity to network, connect with likeminded people or just make interesting new friends. Share experiences and engaging conversations with our guests, while learning and achieving your goals. The House This house is perfectly located in SF, in a calm & high quality area. You will be in a s 24 0.3%
 
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in - Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport The Tenderloin District is situated between the Union Square shopping district and the Civic Center office dis 23 0.3%
 
Are you a bootstrapping founder or a techie lacking a private room budget in this crazy-expensive city? Then share a room with your peers or with some other people with the same mindset. Enjoy the community and a friendly, safe, and welcoming environment without breaking your piggy bank. The ideal landing pad for entrepreneurs and other builders/hustlers in San Francisco! For more information about our houses feel free to check: (Website hidden by Airbnb) Our space is designed as a landing pad for entrepreneurs, designers, engineers, innovators, and other creative minds from the broader startup community. We offer a great community and a space that allows our members to live in the exciting, friendly, clean, and safe environment they deserve. A quick fyi: just like an Hotel, when you book with us, you don't chose a specific room. We have several categories depending on how many beds the room has, it's square footage, and the size of the bed. Each listing in our Airbnb account show 19 0.2%
 
This incredible one bedroom condo is available for rent at an affordable price! The Wyndham Canterbury at San Francisco is located at the heart of downtown San Francisco. This resort is within walking distance of shops, restaurants and bars at Union Square, an two blocks from the city's world famous car system. The car system can take you to the golden gate bridge, fisherman's wharf, and china town. The resort has a fitness center, computer room, and game room. The condo available for rent is a one bedroom condo. The condo comes with a partial kitchen with an electric skillet, microwave, refrigerator, cookware and dishes. In the bedroom there is a queen size bed, flat screen TV and a bathroom. The living room has a couch that turns into a queen size sofa sleeper with a flat screen TV. There are complimentary laundry rooms on each floor of the resort building. The Wyndham Canterbury at San Francisco resort front desk requires a credit card authorization of $150.00 upon check in. The r 18 0.2%
 
Other values (7484) 8185 95.9%
 
(Missing) 41 0.5%
 

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$10.00 292 3.4%
 
$15.00 273 3.2%
 
$30.00 211 2.5%
 
$100.00 160 1.9%
 
$40.00 139 1.6%
 
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Min length6
Scatter

first_review
Categorical

MISSING
HIGH CARDINALITY
Distinct count2278
Unique (%)26.7%
Missing1891
Missing (%)22.2%
Memory size66.7 KiB
11/22/19
 
34
9/28/18
 
28
1/10/19
 
21
3/8/19
 
16
8/11/19
 
15
Other values (2272)
6528
ValueCountFrequency (%) 
11/22/19 34 0.4%
 
9/28/18 28 0.3%
 
1/10/19 21 0.2%
 
3/8/19 16 0.2%
 
8/11/19 15 0.2%
 
8/31/19 15 0.2%
 
10/7/16 14 0.2%
 
8/17/19 14 0.2%
 
3/31/19 14 0.2%
 
6/25/17 14 0.2%
 
Other values (2267) 6457 75.7%
 
(Missing) 1891 22.2%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length8
Mean length6.056135005
Min length3
Scatter

guests_included
Real number (ℝ≥0)

Distinct count12
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.702097738
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum16
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.327286413
Coefficient of variation (CV)0.7797944757
Kurtosis10.19839316
Mean1.702097738
Median Absolute Deviation (MAD)0.9152859768
Skewness2.741916893
Sum14524
Variance1.761689223
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[ 1. 1.5 2.5 3.5 4.5 ... 6.5 7.5 8.5 11. 16. ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
1 5562 65.2%
 
2 1784 20.9%
 
4 586 6.9%
 
3 218 2.6%
 
6 204 2.4%
 
5 95 1.1%
 
8 49 0.6%
 
7 19 0.2%
 
9 6 0.1%
 
10 5 0.1%
 
Other values (2) 5 0.1%
 
ValueCountFrequency (%) 
1 5562 65.2%
 
2 1784 20.9%
 
3 218 2.6%
 
4 586 6.9%
 
5 95 1.1%
 
ValueCountFrequency (%) 
16 2 < 0.1%
 
12 3 < 0.1%
 
10 5 0.1%
 
9 6 0.1%
 
8 49 0.6%
 

has_availability
Categorical

CONST
HIGH CORRELATION
Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
t
8533
ValueCountFrequency (%) 
t 8533 100.0%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceFalse
Contains non-wordsFalse

Length

Max length1
Mean length1
Min length1
Scatter

host_about
Categorical

MISSING
HIGH CARDINALITY
Distinct count3154
Unique (%)37.0%
Missing2155
Missing (%)25.3%
Memory size66.7 KiB
Sonder is reimagining the way people travel. Now in 20+ cities, we’ve been featured in The New York Times, The Wall Street Journal, and named 2019’s most innovative hospitality brand by Fast Company. We’ve taken the best parts of home and hotel and combined them into an entirely new experience. All of our spaces are uniquely designed, have 24/7 guest support, and contain all the essentials you need for an impeccable stay. No matter what you’re looking for, there’s a Sonder for you.
 
261
Zeus is reinventing corporate housing. We do this by providing a unique, hassle-free, and high-quality housing experience in each of our 1,400+ homes throughout the San Francisco Bay Area, Los Angeles, Washington DC, and Seattle, New York City. All of our places are expertly furnished and come with everything set up for you on day one. We specialize in business stays of 30 days or longer and welcome anyone who wants to call Zeus home: entrepreneurs, healthcare professionals, interns, relocating families, and international travelers alike. Book a place and try us out!
 
254
Blueground is a real estate tech company that wants to help people feel at home wherever they choose to live. The company offers beautifully furnished and thoughtfully equipped apartments for a month, a year, or even longer that are designed to help people simply show up and start living. Motivated by its mission to create a tech-powered living experience that guests love, homed in an organization where great people are proud to work, Blueground has grown quickly, surpassing 2,800 apartments and 400 team members in nine cities; New York, Los Angeles, San Francisco, Boston, Chicago, Washington D.C., Dubai, Istanbul and Athens. Blueground plans to have a presence in 50 cities around the world and a portfolio of more than 50,000 apartments by 2023.
 
204
We are a small company in San Francisco that owns a portfolio of buildings and specializes in short-term furnished rentals. We offer a great alternative to a hotel stay at the fraction of the cost. Our apartments are in iconic SF neighborhoods that will allow you to get a real SF experience.
 
101
Hello! My name is Sheena. I'm currently residing in San Francisco, CA. I love traveling and equally love playing tour guide to friends and family in this city.
 
74
Other values (3148)
5484
ValueCountFrequency (%) 
Sonder is reimagining the way people travel. Now in 20+ cities, we’ve been featured in The New York Times, The Wall Street Journal, and named 2019’s most innovative hospitality brand by Fast Company. We’ve taken the best parts of home and hotel and combined them into an entirely new experience. All of our spaces are uniquely designed, have 24/7 guest support, and contain all the essentials you need for an impeccable stay. No matter what you’re looking for, there’s a Sonder for you. 261 3.1%
 
Zeus is reinventing corporate housing. We do this by providing a unique, hassle-free, and high-quality housing experience in each of our 1,400+ homes throughout the San Francisco Bay Area, Los Angeles, Washington DC, and Seattle, New York City. All of our places are expertly furnished and come with everything set up for you on day one. We specialize in business stays of 30 days or longer and welcome anyone who wants to call Zeus home: entrepreneurs, healthcare professionals, interns, relocating families, and international travelers alike. Book a place and try us out! 254 3.0%
 
Blueground is a real estate tech company that wants to help people feel at home wherever they choose to live. The company offers beautifully furnished and thoughtfully equipped apartments for a month, a year, or even longer that are designed to help people simply show up and start living. Motivated by its mission to create a tech-powered living experience that guests love, homed in an organization where great people are proud to work, Blueground has grown quickly, surpassing 2,800 apartments and 400 team members in nine cities; New York, Los Angeles, San Francisco, Boston, Chicago, Washington D.C., Dubai, Istanbul and Athens. Blueground plans to have a presence in 50 cities around the world and a portfolio of more than 50,000 apartments by 2023. 204 2.4%
 
We are a small company in San Francisco that owns a portfolio of buildings and specializes in short-term furnished rentals. We offer a great alternative to a hotel stay at the fraction of the cost. Our apartments are in iconic SF neighborhoods that will allow you to get a real SF experience. 101 1.2%
 
Hello! My name is Sheena. I'm currently residing in San Francisco, CA. I love traveling and equally love playing tour guide to friends and family in this city. 74 0.9%
 
Husband and father of two, loves travel, hiking, and reading. 47 0.6%
 
Hi, my name is Kevin. Thank you for stopping by. Welcome to my place! I moved to the San Francisco Bay Area to attend UC Berkeley and Chicago for The University of Chicago Booth Graduate School of Business. I have also lived in Cambridge, England, Prague, Berlin, Beijing, and Atlanta. I'm happy to be back in the Bay Area. It's my passion to bring together eclectic space for the business traveler with the ease and comfort that a hotel provides with 24/7 front desk ready to help. I enjoy the social community of Airbnb and my guests appreciate the reliability of my place. I'm really providing hotel rooms at a big discount - compare for yourself. I would be thrilled to host you in my place, book now! Just for those who are interested, I travel frequently and believe becoming a traveler is part of living a life with meaning and purpose: Traveled with wife and daughter to nine countries and three states during three months in Summer of 2019. Incredible friends. Wonderful family memories. Amazing value. “I'LL LOOK BACK ON THIS AND SMILE BECAUASE IT WAS LIFE AND I DECIDED TO LIVE IT.” Dreams come true. Most everyone who has made a shift in their mindset to live a better life credits travel with playing a part. Travel the world and discover a better you. Take the first step. "ALL YOU NEED TO KNOW IS THAT IT IS POSSIBLE." Curating life peak experiences is a life peak experience. “THE BIGGEST ADVENTURE YOU CAN EVER TAKE IS TO LIVE THE LIFE OF YOUR DREAMS.” 46 0.5%
 
Hacknsleep,com - we create a friendly co-living environment and provide rooms for carefully chosen members in newly remodeled houses conveniently located in Silicon Valley since 2015. 46 0.5%
 
We are a collective of individuals re-thinking how we live and creating the world in which we'd like to live. 43 0.5%
 
I love my family, without them nothing would be the same! San Francisco is such an amazing city surrounded by history, unique culture and special events throughout the whole year, and I want to make sure my guests enjoy their stay as much as possible! My favorite places in the world are San Francisco, Menorca, Barcelona and a place I haven't been yet. I love the Mediterranean sea and all related with water. My motto is: If you can dream it, you can do it! 41 0.5%
 
Other values (3143) 5261 61.7%
 
(Missing) 2155 25.3%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length6395
Mean length312.2134068
Min length1
Scatter

host_acceptance_rate
Unsupported

MISSING
UNSUPPORTED
Missing8533
Missing (%)100.0%
Memory size66.7 KiB
Distinct count3
Unique (%)< 0.1%
Missing54
Missing (%)0.6%
Memory size66.7 KiB
t
8436
f
 
43
(Missing)
 
54
ValueCountFrequency (%) 
t 8436 98.9%
 
f 43 0.5%
 
(Missing) 54 0.6%
 

host_id
Real number (ℝ≥0)

Distinct count4399
Unique (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67734389.01
Minimum28
Maximum313682675
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum28
5-th percentile338547.4
Q14430421
median23741447
Q3107434423
95-th percentile263502162
Maximum313682675
Range313682647
Interquartile range (IQR)103004002

Descriptive statistics

Standard deviation86061537.7
Coefficient of variation (CV)1.270573765
Kurtosis0.4509463261
Mean67734389.01
Median Absolute Deviation (MAD)69657670.59
Skewness1.311265416
Sum5.779775415e+11
Variance7.406588271e+15
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[2.80000000e+01 2.18070000e+04 2.37465000e+04 2.66215000e+04 2.69945000e+04 ... 3.05345844e+08 3.07107120e+08 3.07163806e+08 3.09449735e+08 3.13682675e+08], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
48005494 254 3.0%
 
219930816 253 3.0%
 
107434423 204 2.4%
 
4430421 101 1.2%
 
103340667 74 0.9%
 
70722023 47 0.6%
 
267895362 46 0.5%
 
262211596 46 0.5%
 
269218344 45 0.5%
 
117141107 43 0.5%
 
Other values (4389) 7420 87.0%
 
ValueCountFrequency (%) 
28 1 < 0.1%
 
46 1 < 0.1%
 
470 1 < 0.1%
 
1169 1 < 0.1%
 
4921 3 < 0.1%
 
ValueCountFrequency (%) 
313682675 2 < 0.1%
 
313232693 1 < 0.1%
 
311302307 1 < 0.1%
 
311034766 1 < 0.1%
 
310751503 1 < 0.1%
 
Distinct count3
Unique (%)< 0.1%
Missing54
Missing (%)0.6%
Memory size66.7 KiB
t
4285
f
4194
(Missing)
 
54
ValueCountFrequency (%) 
t 4285 50.2%
 
f 4194 49.2%
 
(Missing) 54 0.6%
 
Distinct count3
Unique (%)< 0.1%
Missing54
Missing (%)0.6%
Memory size66.7 KiB
f
4936
t
3543
(Missing)
 
54
ValueCountFrequency (%) 
f 4936 57.8%
 
t 3543 41.5%
 
(Missing) 54 0.6%
 

host_listings_count
Real number (ℝ≥0)

ZEROS
HIGH CORRELATION
Distinct count73
Unique (%)0.9%
Missing54
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean101.5240005
Minimum0.0
Maximum1768.0
Zeros497
Zeros (%)5.8%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q316
95-th percentile1068
Maximum1768
Range1768
Interquartile range (IQR)15

Descriptive statistics

Standard deviation340.8117852
Coefficient of variation (CV)3.356957799
Kurtosis15.75472628
Mean101.5240005
Median Absolute Deviation (MAD)163.1497383
Skewness4.06461647
Sum860822
Variance116152.6729
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 2596 30.4%
 
2 1225 14.4%
 
3 632 7.4%
 
0 497 5.8%
 
4 440 5.2%
 
5 311 3.6%
 
1768 254 3.0%
 
267 253 3.0%
 
1068 204 2.4%
 
6 113 1.3%
 
Other values (62) 1954 22.9%
 
ValueCountFrequency (%) 
0 497 5.8%
 
1 2596 30.4%
 
2 1225 14.4%
 
3 632 7.4%
 
4 440 5.2%
 
ValueCountFrequency (%) 
1768 254 3.0%
 
1068 204 2.4%
 
972 1 < 0.1%
 
838 8 0.1%
 
678 26 0.3%
 

host_location
Categorical

HIGH CARDINALITY
Distinct count182
Unique (%)2.1%
Missing59
Missing (%)0.7%
Memory size66.7 KiB
San Francisco, California, United States
6480
US
 
875
New York, New York, United States
 
254
Los Angeles, California, United States
 
111
San Diego, California, United States
 
48
Other values (176)
 
706
ValueCountFrequency (%) 
San Francisco, California, United States 6480 75.9%
 
US 875 10.3%
 
New York, New York, United States 254 3.0%
 
Los Angeles, California, United States 111 1.3%
 
San Diego, California, United States 48 0.6%
 
Calgary, Alberta, Canada 47 0.6%
 
Penn Valley, California, United States 35 0.4%
 
Tigard, Oregon, United States 28 0.3%
 
Victoria, British Columbia, Canada 27 0.3%
 
Hawthorne, New Jersey, United States 26 0.3%
 
Other values (171) 543 6.4%
 
(Missing) 59 0.7%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length62
Mean length34.86476034
Min length2
Scatter

host_name
Categorical

HIGH CARDINALITY
Distinct count2183
Unique (%)25.6%
Missing54
Missing (%)0.6%
Memory size66.7 KiB
Zeus
 
254
Sonder (San Francisco)
 
253
Blueground
 
204
Michael
 
128
Kevin
 
112
Other values (2177)
7528
ValueCountFrequency (%) 
Zeus 254 3.0%
 
Sonder (San Francisco) 253 3.0%
 
Blueground 204 2.4%
 
Michael 128 1.5%
 
Kevin 112 1.3%
 
Landmark 101 1.2%
 
Sheena 74 0.9%
 
David 70 0.8%
 
Jeff 70 0.8%
 
Michelle 70 0.8%
 
Other values (2172) 7143 83.7%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length65
Mean length6.996015469
Min length1
Scatter

host_neighbourhood
Categorical

MISSING
HIGH CARDINALITY
Distinct count139
Unique (%)1.6%
Missing565
Missing (%)6.6%
Memory size66.7 KiB
SoMa
 
651
Mission District
 
609
Potrero Hill
 
441
Noe Valley
 
418
Richmond District
 
370
Other values (133)
5479
ValueCountFrequency (%) 
SoMa 651 7.6%
 
Mission District 609 7.1%
 
Potrero Hill 441 5.2%
 
Noe Valley 418 4.9%
 
Richmond District 370 4.3%
 
Nob Hill 347 4.1%
 
The Castro 346 4.1%
 
Bernal Heights 343 4.0%
 
Outer Sunset 304 3.6%
 
Western Addition/NOPA 294 3.4%
 
Other values (128) 3845 45.1%
 
(Missing) 565 6.6%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length31
Mean length10.85409586
Min length3
Scatter
Distinct count4361
Unique (%)51.1%
Missing54
Missing (%)0.6%
Memory size66.7 KiB
https://a0.muscache.com/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg?aki_policy=profile_x_medium
 
254
https://a0.muscache.com/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg?aki_policy=profile_x_medium
 
253
https://a0.muscache.com/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg?aki_policy=profile_x_medium
 
204
https://a0.muscache.com/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg?aki_policy=profile_x_medium
 
101
https://a0.muscache.com/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg?aki_policy=profile_x_medium
 
74
Other values (4355)
7593
(Missing)
 
54
ValueCountFrequency (%) 
https://a0.muscache.com/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg?aki_policy=profile_x_medium 254 3.0%
 
https://a0.muscache.com/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg?aki_policy=profile_x_medium 253 3.0%
 
https://a0.muscache.com/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg?aki_policy=profile_x_medium 204 2.4%
 
https://a0.muscache.com/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg?aki_policy=profile_x_medium 101 1.2%
 
https://a0.muscache.com/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg?aki_policy=profile_x_medium 74 0.9%
 
https://a0.muscache.com/im/pictures/user/9a5b2af1-f324-4183-acf6-21c12e6cb07a.jpg?aki_policy=profile_x_medium 47 0.6%
 
https://a0.muscache.com/im/pictures/user/5db851ea-0c35-4c5f-860c-25a835978321.jpg?aki_policy=profile_x_medium 46 0.5%
 
https://a0.muscache.com/im/pictures/user/da842d53-11ed-4427-9979-f8260b9e05a2.jpg?aki_policy=profile_x_medium 46 0.5%
 
https://a0.muscache.com/im/pictures/user/c0f988d1-b198-47bb-88e8-c782ea61da2f.jpg?aki_policy=profile_x_medium 45 0.5%
 
https://a0.muscache.com/im/pictures/user/95075c3f-d3a5-48da-8951-aa49656b2f02.jpg?aki_policy=profile_x_medium 43 0.5%
 
Other values (4350) 7366 86.3%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
https 8479 99.4%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
a0.muscache.com 8479 99.4%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg 254 3.0%
 
/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg 253 3.0%
 
/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg 204 2.4%
 
/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg 101 1.2%
 
/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg 74 0.9%
 
/im/pictures/user/9a5b2af1-f324-4183-acf6-21c12e6cb07a.jpg 47 0.6%
 
/im/pictures/user/5db851ea-0c35-4c5f-860c-25a835978321.jpg 46 0.5%
 
/im/pictures/user/da842d53-11ed-4427-9979-f8260b9e05a2.jpg 46 0.5%
 
/im/pictures/user/c0f988d1-b198-47bb-88e8-c782ea61da2f.jpg 45 0.5%
 
/im/pictures/user/2fe31cc2-6b82-46e3-90a6-943fdccaeb9d.jpg 43 0.5%
 
Other values (4350) 7366 86.3%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
aki_policy=profile_x_medium 8436 98.9%
 
v=3 43 0.5%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
8479 99.4%
 
(Missing) 54 0.6%
 

host_response_rate
Categorical

MISSING
Distinct count43
Unique (%)0.5%
Missing1000
Missing (%)11.7%
Memory size66.7 KiB
100%
5426
99%
 
617
97%
 
250
90%
 
226
98%
 
130
Other values (37)
 
884
ValueCountFrequency (%) 
100% 5426 63.6%
 
99% 617 7.2%
 
97% 250 2.9%
 
90% 226 2.6%
 
98% 130 1.5%
 
80% 111 1.3%
 
83% 75 0.9%
 
87% 74 0.9%
 
94% 66 0.8%
 
96% 61 0.7%
 
Other values (32) 497 5.8%
 
(Missing) 1000 11.7%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length4
Mean length3.630844955
Min length2
Scatter

host_response_time
Categorical

MISSING
Distinct count5
Unique (%)0.1%
Missing1000
Missing (%)11.7%
Memory size66.7 KiB
within an hour
5041
within a few hours
1760
within a day
 
665
a few days or more
 
67
ValueCountFrequency (%) 
within an hour 5041 59.1%
 
within a few hours 1760 20.6%
 
within a day 665 7.8%
 
a few days or more 67 0.8%
 
(Missing) 1000 11.7%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length18
Mean length13.41146139
Min length3
Scatter

host_since
Categorical

HIGH CARDINALITY
Distinct count2353
Unique (%)27.6%
Missing54
Missing (%)0.6%
Memory size66.7 KiB
11/2/15
 
257
10/10/18
 
253
12/16/16
 
204
12/17/12
 
101
11/11/16
 
76
Other values (2347)
7588
ValueCountFrequency (%) 
11/2/15 257 3.0%
 
10/10/18 253 3.0%
 
12/16/16 204 2.4%
 
12/17/12 101 1.2%
 
11/11/16 76 0.9%
 
5/16/19 48 0.6%
 
6/11/19 48 0.6%
 
5/6/16 48 0.6%
 
6/17/19 45 0.5%
 
2/13/18 43 0.5%
 
Other values (2342) 7356 86.2%
 
(Missing) 54 0.6%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length8
Mean length6.994491972
Min length3
Scatter
Distinct count4361
Unique (%)51.1%
Missing54
Missing (%)0.6%
Memory size66.7 KiB
https://a0.muscache.com/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg?aki_policy=profile_small
 
254
https://a0.muscache.com/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg?aki_policy=profile_small
 
253
https://a0.muscache.com/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg?aki_policy=profile_small
 
204
https://a0.muscache.com/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg?aki_policy=profile_small
 
101
https://a0.muscache.com/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg?aki_policy=profile_small
 
74
Other values (4355)
7593
(Missing)
 
54
ValueCountFrequency (%) 
https://a0.muscache.com/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg?aki_policy=profile_small 254 3.0%
 
https://a0.muscache.com/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg?aki_policy=profile_small 253 3.0%
 
https://a0.muscache.com/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg?aki_policy=profile_small 204 2.4%
 
https://a0.muscache.com/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg?aki_policy=profile_small 101 1.2%
 
https://a0.muscache.com/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg?aki_policy=profile_small 74 0.9%
 
https://a0.muscache.com/im/pictures/user/9a5b2af1-f324-4183-acf6-21c12e6cb07a.jpg?aki_policy=profile_small 47 0.6%
 
https://a0.muscache.com/im/pictures/user/da842d53-11ed-4427-9979-f8260b9e05a2.jpg?aki_policy=profile_small 46 0.5%
 
https://a0.muscache.com/im/pictures/user/5db851ea-0c35-4c5f-860c-25a835978321.jpg?aki_policy=profile_small 46 0.5%
 
https://a0.muscache.com/im/pictures/user/c0f988d1-b198-47bb-88e8-c782ea61da2f.jpg?aki_policy=profile_small 45 0.5%
 
https://a0.muscache.com/im/pictures/user/95075c3f-d3a5-48da-8951-aa49656b2f02.jpg?aki_policy=profile_small 43 0.5%
 
Other values (4350) 7366 86.3%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
https 8479 99.4%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
a0.muscache.com 8479 99.4%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg 254 3.0%
 
/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg 253 3.0%
 
/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg 204 2.4%
 
/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg 101 1.2%
 
/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg 74 0.9%
 
/im/pictures/user/9a5b2af1-f324-4183-acf6-21c12e6cb07a.jpg 47 0.6%
 
/im/pictures/user/5db851ea-0c35-4c5f-860c-25a835978321.jpg 46 0.5%
 
/im/pictures/user/da842d53-11ed-4427-9979-f8260b9e05a2.jpg 46 0.5%
 
/im/pictures/user/c0f988d1-b198-47bb-88e8-c782ea61da2f.jpg 45 0.5%
 
/im/pictures/user/95075c3f-d3a5-48da-8951-aa49656b2f02.jpg 43 0.5%
 
Other values (4350) 7366 86.3%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
aki_policy=profile_small 8436 98.9%
 
v=3 43 0.5%
 
(Missing) 54 0.6%
 
ValueCountFrequency (%) 
8479 99.4%
 
(Missing) 54 0.6%
 

host_total_listings_count
Real number (ℝ≥0)

ZEROS
HIGH CORRELATION
Distinct count73
Unique (%)0.9%
Missing54
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean101.5240005
Minimum0.0
Maximum1768.0
Zeros497
Zeros (%)5.8%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q316
95-th percentile1068
Maximum1768
Range1768
Interquartile range (IQR)15

Descriptive statistics

Standard deviation340.8117852
Coefficient of variation (CV)3.356957799
Kurtosis15.75472628
Mean101.5240005
Median Absolute Deviation (MAD)163.1497383
Skewness4.06461647
Sum860822
Variance116152.6729
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 2596 30.4%
 
2 1225 14.4%
 
3 632 7.4%
 
0 497 5.8%
 
4 440 5.2%
 
5 311 3.6%
 
1768 254 3.0%
 
267 253 3.0%
 
1068 204 2.4%
 
6 113 1.3%
 
Other values (62) 1954 22.9%
 
ValueCountFrequency (%) 
0 497 5.8%
 
1 2596 30.4%
 
2 1225 14.4%
 
3 632 7.4%
 
4 440 5.2%
 
ValueCountFrequency (%) 
1768 254 3.0%
 
1068 204 2.4%
 
972 1 < 0.1%
 
838 8 0.1%
 
678 26 0.3%
 
Distinct count4399
Unique (%)51.6%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
https://www.airbnb.com/users/show/48005494
 
254
https://www.airbnb.com/users/show/219930816
 
253
https://www.airbnb.com/users/show/107434423
 
204
https://www.airbnb.com/users/show/4430421
 
101
https://www.airbnb.com/users/show/103340667
 
74
Other values (4394)
7647
ValueCountFrequency (%) 
https://www.airbnb.com/users/show/48005494 254 3.0%
 
https://www.airbnb.com/users/show/219930816 253 3.0%
 
https://www.airbnb.com/users/show/107434423 204 2.4%
 
https://www.airbnb.com/users/show/4430421 101 1.2%
 
https://www.airbnb.com/users/show/103340667 74 0.9%
 
https://www.airbnb.com/users/show/70722023 47 0.6%
 
https://www.airbnb.com/users/show/267895362 46 0.5%
 
https://www.airbnb.com/users/show/262211596 46 0.5%
 
https://www.airbnb.com/users/show/269218344 45 0.5%
 
https://www.airbnb.com/users/show/117141107 43 0.5%
 
Other values (4389) 7420 87.0%
 
ValueCountFrequency (%) 
https 8533 100.0%
 
ValueCountFrequency (%) 
www.airbnb.com 8533 100.0%
 
ValueCountFrequency (%) 
/users/show/48005494 254 3.0%
 
/users/show/219930816 253 3.0%
 
/users/show/107434423 204 2.4%
 
/users/show/4430421 101 1.2%
 
/users/show/103340667 74 0.9%
 
/users/show/70722023 47 0.6%
 
/users/show/267895362 46 0.5%
 
/users/show/262211596 46 0.5%
 
/users/show/269218344 45 0.5%
 
/users/show/117141107 43 0.5%
 
Other values (4389) 7420 87.0%
 
ValueCountFrequency (%) 
8533 100.0%
 
ValueCountFrequency (%) 
8533 100.0%
 

host_verifications
Categorical

HIGH CARDINALITY
Distinct count256
Unique (%)3.0%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
['email', 'phone', 'reviews', 'kba']
 
884
['email', 'phone', 'reviews', 'jumio', 'government_id']
 
516
['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'identity_manual']
 
475
['email', 'phone', 'reviews', 'jumio', 'government_id', 'work_email']
 
474
['email', 'phone', 'reviews']
 
393
Other values (251)
5791
ValueCountFrequency (%) 
['email', 'phone', 'reviews', 'kba'] 884 10.4%
 
['email', 'phone', 'reviews', 'jumio', 'government_id'] 516 6.0%
 
['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'identity_manual'] 475 5.6%
 
['email', 'phone', 'reviews', 'jumio', 'government_id', 'work_email'] 474 5.6%
 
['email', 'phone', 'reviews'] 393 4.6%
 
['email', 'phone'] 371 4.3%
 
['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id'] 323 3.8%
 
['email', 'phone', 'facebook', 'reviews', 'kba'] 322 3.8%
 
['email', 'phone', 'reviews', 'work_email'] 290 3.4%
 
['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'identity_manual', 'work_email'] 238 2.8%
 
Other values (246) 4247 49.8%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length152
Mean length67.47826087
Min length2
Scatter

house_rules
Categorical

MISSING
HIGH CARDINALITY
Distinct count4389
Unique (%)51.4%
Missing2283
Missing (%)26.8%
Memory size66.7 KiB
#NAME?
 
256
House Rules 1. Reservations require a $500 security deposit that is not charged in advance. 2. Guests can cancel free of charge within 24 hours of booking (please contact us to process the refund). You’ll be charged 50% of the booking price (minus the service fee) if you cancel more than seven days before arrival, and 100% of the total price if you cancel within seven days of arrival. 3. Check-in is at 4 pm. Checkout is at 11 am. Early check-in or late checkout may be available upon request. Guests who stay beyond their designated checkout time or delay our housekeeping staff are liable for any associated costs and expenses. 4. Guests are not allowed to make a reservation in their city of residence. Please contact us if you're booking within your city. 5. Smoking, parties, and excessive noise are not allowed, including on balconies and in shared spaces. Smoking violations are subject to a $250 fine plus the cost to clean, deodorize, and repair damages. 6. Commercial photography/videogr
 
180
- A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Our Pet Policy outlines the weight limit and breed restrictions, along with related fees. Guests should notify us of any pets prior to check-in (failing to do so will incur a penalty) - Parking is offered based on availability and is subject to a fee. - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details
 
93
House Rules 1. Reservations require a $400 security deposit that is not charged in advance. 2. Guests can cancel free of charge within 24 hours of booking (please contact us to process the refund). You’ll be charged 50% of the booking price (minus the service fee) if you cancel more than seven days before arrival, and 100% of the total price if you cancel within seven days of arrival. 3. Check-in is at 4 pm. Checkout is at 11 am. Early check-in or late checkout may be available upon request. Guests who stay beyond their designated checkout time or delay our housekeeping staff are liable for any associated costs and expenses. 4. Guests are not allowed to make a reservation in their city of residence. Please contact us if you're booking within your city. 5. Smoking, parties, and excessive noise are not allowed, including on balconies and in shared spaces. Smoking violations are subject to a $250 fine plus the cost to clean, deodorize, and repair damages. 6. Commercial photography/videogr
 
81
- A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Parking is offered based on availability and is subject to a fee. - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details
 
54
Other values (4383)
5586
ValueCountFrequency (%) 
#NAME? 256 3.0%
 
House Rules 1. Reservations require a $500 security deposit that is not charged in advance. 2. Guests can cancel free of charge within 24 hours of booking (please contact us to process the refund). You’ll be charged 50% of the booking price (minus the service fee) if you cancel more than seven days before arrival, and 100% of the total price if you cancel within seven days of arrival. 3. Check-in is at 4 pm. Checkout is at 11 am. Early check-in or late checkout may be available upon request. Guests who stay beyond their designated checkout time or delay our housekeeping staff are liable for any associated costs and expenses. 4. Guests are not allowed to make a reservation in their city of residence. Please contact us if you're booking within your city. 5. Smoking, parties, and excessive noise are not allowed, including on balconies and in shared spaces. Smoking violations are subject to a $250 fine plus the cost to clean, deodorize, and repair damages. 6. Commercial photography/videogr 180 2.1%
 
- A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Our Pet Policy outlines the weight limit and breed restrictions, along with related fees. Guests should notify us of any pets prior to check-in (failing to do so will incur a penalty) - Parking is offered based on availability and is subject to a fee. - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details 93 1.1%
 
House Rules 1. Reservations require a $400 security deposit that is not charged in advance. 2. Guests can cancel free of charge within 24 hours of booking (please contact us to process the refund). You’ll be charged 50% of the booking price (minus the service fee) if you cancel more than seven days before arrival, and 100% of the total price if you cancel within seven days of arrival. 3. Check-in is at 4 pm. Checkout is at 11 am. Early check-in or late checkout may be available upon request. Guests who stay beyond their designated checkout time or delay our housekeeping staff are liable for any associated costs and expenses. 4. Guests are not allowed to make a reservation in their city of residence. Please contact us if you're booking within your city. 5. Smoking, parties, and excessive noise are not allowed, including on balconies and in shared spaces. Smoking violations are subject to a $250 fine plus the cost to clean, deodorize, and repair damages. 6. Commercial photography/videogr 81 0.9%
 
- A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Parking is offered based on availability and is subject to a fee. - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details 54 0.6%
 
Have a look at our House Rules and Community Guidelines: (Website hidden by Airbnb) 54 0.6%
 
• No smoking • No pets • No parties or events • Check-in time is 4PM - 12AM (midnight) 46 0.5%
 
- Quiet Hours between 10pm - 10am - No Visitors After 10pm - 10am - No Bikes - Check Out Time is Before 11am - No Daily Cleaning - No smoking permitted in the room or inside the building. - Luggage Storage: $2/luggage. No overnight storage. 43 0.5%
 
- A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Our Pet Policy outlines the weight limit and breed restrictions, along with related fees. Guests should notify us of any pets prior to check-in (failing to do so will incur a penalty) - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details 41 0.5%
 
- Quiet hours are from 10pm-8am. Please be respectful of your neighbors 39 0.5%
 
Other values (4378) 5363 62.9%
 
(Missing) 2283 26.8%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length291.6090472
Min length3
Scatter

id
Real number (ℝ≥0)

UNIQUE
Distinct count8533
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21386449.34
Minimum958
Maximum40569280
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum958
5-th percentile777607.6
Q19779327
median22597536
Q332703560
95-th percentile39630259.8
Maximum40569280
Range40568322
Interquartile range (IQR)22924233

Descriptive statistics

Standard deviation12838604.04
Coefficient of variation (CV)0.6003148928
Kurtosis-1.255266502
Mean21386449.34
Median Absolute Deviation (MAD)11125109.03
Skewness-0.1955564177
Sum1.824905722e+11
Variance1.648297538e+14
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[9.58000000e+02 8.41650000e+04 1.21345100e+06 2.18827050e+06 2.18966400e+06 ... 4.04641655e+07 4.04644995e+07 4.04830790e+07 4.04831000e+07 4.05692800e+07], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
6604799 1 < 0.1%
 
4510968 1 < 0.1%
 
72921 1 < 0.1%
 
38382815 1 < 0.1%
 
32920800 1 < 0.1%
 
8592609 1 < 0.1%
 
36928741 1 < 0.1%
 
35378273 1 < 0.1%
 
10863850 1 < 0.1%
 
24442092 1 < 0.1%
 
Other values (8523) 8523 99.9%
 
ValueCountFrequency (%) 
958 1 < 0.1%
 
3850 1 < 0.1%
 
5858 1 < 0.1%
 
7918 1 < 0.1%
 
8142 1 < 0.1%
 
ValueCountFrequency (%) 
40569280 1 < 0.1%
 
40560328 1 < 0.1%
 
40547706 1 < 0.1%
 
40546145 1 < 0.1%
 
40544136 1 < 0.1%
 
Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
f
4932
t
3601
ValueCountFrequency (%) 
f 4932 57.8%
 
t 3601 42.2%
 

interaction
Categorical

MISSING
HIGH CARDINALITY
Distinct count4245
Unique (%)49.7%
Missing2804
Missing (%)32.9%
Memory size66.7 KiB
The entire apartment is yours to enjoy! You’ll either be personally greeted by a Blueground team member or given self check-in instructions. Throughout your stay, you’ll have access to our Client Experience team through the Blueground App. You can schedule additional cleanings, submit maintenance requests, and view our neighborhood recommendations with just a few taps. We’ll share all details upon confirmation of your stay.
 
202
For all maintenance requests, please email (Email hidden by Airbnb)
 
61
The front desk is a great resource to help with your needs during your stay. They can also answer many questions prior to your arrival. Of course, I'm always here to help.
 
51
Once the booking is complete, our Community Manager will reach out to you, coordinate your check-in, and answer any question you might have about the house, the city, or our amazing Community. Feel free to email, text, call or slack any member of our team if there is anything you need. Contacts information will be provided upon check-in.
 
47
Please don't hesitate to ask any questions, we are here to help and assure you the best possible stay.
 
44
Other values (4239)
5324
ValueCountFrequency (%) 
The entire apartment is yours to enjoy! You’ll either be personally greeted by a Blueground team member or given self check-in instructions. Throughout your stay, you’ll have access to our Client Experience team through the Blueground App. You can schedule additional cleanings, submit maintenance requests, and view our neighborhood recommendations with just a few taps. We’ll share all details upon confirmation of your stay. 202 2.4%
 
For all maintenance requests, please email (Email hidden by Airbnb) 61 0.7%
 
The front desk is a great resource to help with your needs during your stay. They can also answer many questions prior to your arrival. Of course, I'm always here to help. 51 0.6%
 
Once the booking is complete, our Community Manager will reach out to you, coordinate your check-in, and answer any question you might have about the house, the city, or our amazing Community. Feel free to email, text, call or slack any member of our team if there is anything you need. Contacts information will be provided upon check-in. 47 0.6%
 
Please don't hesitate to ask any questions, we are here to help and assure you the best possible stay. 44 0.5%
 
We are dedicated to building a supportive and self-reflective culture around respect and clear communication. By entering into this space we request that you heed these cultural norms. If you have any questions, please ask! This is also an iterative process and if you have any suggestions or feedback on our process or culture, we’d love to hear about it. With private and shared rooms, we welcome you to experience the culture. 38 0.4%
 
Available via phone/text/email at all times. Guests have 24 hour a day access to the front desk staff who can deal with any issues on site. 36 0.4%
 
We are available to be contacted 24x7. 35 0.4%
 
The Outpost Club Team will be in touch 24/7 31 0.4%
 
Feel free to message us if you have any questions, we are 100% available for you! 29 0.3%
 
Other values (4234) 5155 60.4%
 
(Missing) 2804 32.9%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length128.9683581
Min length3
Scatter

is_business_travel_ready
Categorical

CONST
HIGH CORRELATION
Distinct count1
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
f
8533
ValueCountFrequency (%) 
f 8533 100.0%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceFalse
Contains non-wordsFalse

Length

Max length1
Mean length1
Min length1
Scatter
Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
t
7082
f
1451
ValueCountFrequency (%) 
t 7082 83.0%
 
f 1451 17.0%
 
Distinct count3
Unique (%)< 0.1%
Missing51
Missing (%)0.6%
Memory size66.7 KiB
{"SAN FRANCISCO"}
8481
{"Solano County"," CA"}
 
1
ValueCountFrequency (%) 
{"SAN FRANCISCO"} 8481 99.4%
 
{"Solano County"," CA"} 1 < 0.1%
 
(Missing) 51 0.6%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length23
Mean length16.91702801
Min length3
Scatter

last_review
Categorical

MISSING
HIGH CARDINALITY
Distinct count879
Unique (%)10.3%
Missing1891
Missing (%)22.2%
Memory size66.7 KiB
11/22/19
 
549
12/1/19
 
200
11/30/19
 
180
11/23/19
 
177
11/17/19
 
143
Other values (873)
5393
ValueCountFrequency (%) 
11/22/19 549 6.4%
 
12/1/19 200 2.3%
 
11/30/19 180 2.1%
 
11/23/19 177 2.1%
 
11/17/19 143 1.7%
 
11/24/19 141 1.7%
 
11/21/19 136 1.6%
 
11/16/19 102 1.2%
 
11/18/19 99 1.2%
 
11/25/19 94 1.1%
 
Other values (868) 4821 56.5%
 
(Missing) 1891 22.2%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length8
Mean length6.407359662
Min length3
Scatter

last_scraped
Categorical

HIGH CORRELATION
Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
12/4/19
8338
12/5/19
 
195
ValueCountFrequency (%) 
12/4/19 8338 97.7%
 
12/5/19 195 2.3%
 

Composition

Contains charsFalse
Contains digitsTrue
Contains whitespaceFalse
Contains non-wordsTrue

Length

Max length7
Mean length7
Min length7
Scatter

latitude
Real number (ℝ≥0)

Distinct count5221
Unique (%)61.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.76635047
Minimum37.70448
Maximum37.828790000000005
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum37.70448
5-th percentile37.72348
Q137.75177
median37.76978
Q337.78557
95-th percentile37.79918
Maximum37.82879
Range0.12431
Interquartile range (IQR)0.0338

Descriptive statistics

Standard deviation0.02281312059
Coefficient of variation (CV)0.0006040594421
Kurtosis-0.492029107
Mean37.76635047
Median Absolute Deviation (MAD)0.01885600911
Skewness-0.4682242401
Sum322260.2685
Variance0.0005204384711
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[37.70448 37.70824 37.71677 37.728355 37.742375 ... 37.792115 37.802285 37.806595 37.8075 37.82879 ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
37.77981 8 0.1%
 
37.77316 7 0.1%
 
37.77657 7 0.1%
 
37.7583 6 0.1%
 
37.75726 6 0.1%
 
37.78778 6 0.1%
 
37.78827 6 0.1%
 
37.76186 6 0.1%
 
37.78866 6 0.1%
 
37.75855 6 0.1%
 
Other values (5211) 8469 99.2%
 
ValueCountFrequency (%) 
37.70448 1 < 0.1%
 
37.70455 1 < 0.1%
 
37.7047 1 < 0.1%
 
37.70475 1 < 0.1%
 
37.70485 1 < 0.1%
 
ValueCountFrequency (%) 
37.82879 1 < 0.1%
 
37.81704 1 < 0.1%
 
37.81031 1 < 0.1%
 
37.80757 1 < 0.1%
 
37.80743 1 < 0.1%
 

license
Categorical

MISSING
HIGH CARDINALITY
Distinct count2578
Unique (%)30.2%
Missing3243
Missing (%)38.0%
Memory size66.7 KiB
City registration pending
823
License not needed per OSTR
 
519
Licensed Hotel/B&B
 
99
City Registration Pending
 
83
1083521
 
32
Other values (2572)
3734
ValueCountFrequency (%) 
City registration pending 823 9.6%
 
License not needed per OSTR 519 6.1%
 
Licensed Hotel/B&B 99 1.2%
 
City Registration Pending 83 1.0%
 
1083521 32 0.4%
 
1078479 29 0.3%
 
city registration pending 26 0.3%
 
365804 24 0.3%
 
933345 22 0.3%
 
1080289 19 0.2%
 
Other values (2567) 3614 42.4%
 
(Missing) 3243 38.0%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length483
Mean length10.73362241
Min length2
Scatter

listing_url
URL

UNIQUE
Distinct count8533
Unique (%)100.0%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
https://www.airbnb.com/rooms/5195922
 
1
https://www.airbnb.com/rooms/1351626
 
1
https://www.airbnb.com/rooms/415498
 
1
https://www.airbnb.com/rooms/4825217
 
1
https://www.airbnb.com/rooms/15149470
 
1
Other values (8528)
8528
ValueCountFrequency (%) 
https://www.airbnb.com/rooms/5195922 1 < 0.1%
 
https://www.airbnb.com/rooms/1351626 1 < 0.1%
 
https://www.airbnb.com/rooms/415498 1 < 0.1%
 
https://www.airbnb.com/rooms/4825217 1 < 0.1%
 
https://www.airbnb.com/rooms/15149470 1 < 0.1%
 
https://www.airbnb.com/rooms/40030053 1 < 0.1%
 
https://www.airbnb.com/rooms/5905163 1 < 0.1%
 
https://www.airbnb.com/rooms/19588004 1 < 0.1%
 
https://www.airbnb.com/rooms/734801 1 < 0.1%
 
https://www.airbnb.com/rooms/10891431 1 < 0.1%
 
Other values (8523) 8523 99.9%
 
ValueCountFrequency (%) 
https 8533 100.0%
 
ValueCountFrequency (%) 
www.airbnb.com 8533 100.0%
 
ValueCountFrequency (%) 
/rooms/23804136 1 < 0.1%
 
/rooms/28610502 1 < 0.1%
 
/rooms/40118113 1 < 0.1%
 
/rooms/28898815 1 < 0.1%
 
/rooms/21597747 1 < 0.1%
 
/rooms/22067613 1 < 0.1%
 
/rooms/40464349 1 < 0.1%
 
/rooms/39106572 1 < 0.1%
 
/rooms/14475808 1 < 0.1%
 
/rooms/39970683 1 < 0.1%
 
Other values (8523) 8523 99.9%
 
ValueCountFrequency (%) 
8533 100.0%
 
ValueCountFrequency (%) 
8533 100.0%
 

longitude
Real number (ℝ)

Distinct count5326
Unique (%)62.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-122.4297793
Minimum-122.51306000000001
Maximum-122.36856999999999
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum-122.51306
5-th percentile-122.488894
Q1-122.44252
median-122.42406
Q3-122.4105
95-th percentile-122.393996
Maximum-122.36857
Range0.14449
Interquartile range (IQR)0.03202

Descriptive statistics

Standard deviation0.02701034079
Coefficient of variation (CV)-0.0002206190434
Kurtosis0.6616132309
Mean-122.4297793
Median Absolute Deviation (MAD)0.02092301624
Skewness-0.9858101357
Sum-1044693.306
Variance0.0007295585095
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[-122.51306 -122.50966 -122.500745 -122.48018 -122.453815 ... -122.399885 -122.38774 -122.382035 -122.371835 -122.36857 ], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
-122.40925 8 0.1%
 
-122.42977 8 0.1%
 
-122.40637 7 0.1%
 
-122.41479 7 0.1%
 
-122.40931 7 0.1%
 
-122.41697 7 0.1%
 
-122.43255 7 0.1%
 
-122.40678 7 0.1%
 
-122.40825 6 0.1%
 
-122.44126 6 0.1%
 
Other values (5316) 8463 99.2%
 
ValueCountFrequency (%) 
-122.51306 1 < 0.1%
 
-122.51163 1 < 0.1%
 
-122.51117 1 < 0.1%
 
-122.51015 1 < 0.1%
 
-122.5101 1 < 0.1%
 
ValueCountFrequency (%) 
-122.36857 1 < 0.1%
 
-122.36903 1 < 0.1%
 
-122.36999 1 < 0.1%
 
-122.37009 1 < 0.1%
 
-122.37043 1 < 0.1%
 

market
Categorical

Distinct count3
Unique (%)< 0.1%
Missing20
Missing (%)0.2%
Memory size66.7 KiB
San Francisco
8512
D.C.
 
1
ValueCountFrequency (%) 
San Francisco 8512 99.8%
 
D.C. 1 < 0.1%
 
(Missing) 20 0.2%
 

Composition

Contains charsTrue
Contains digitsFalse
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length13
Mean length12.97550686
Min length3
Scatter

maximum_maximum_nights
Real number (ℝ≥0)

SKEWED
HIGH CORRELATION
Distinct count157
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1018938.843
Minimum1
Maximum2147483647
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile7
Q129
median360
Q31125
95-th percentile1125
Maximum2147483647
Range2147483646
Interquartile range (IQR)1096

Descriptive statistics

Standard deviation46499455.31
Coefficient of variation (CV)45.63517784
Kurtosis2127.190179
Mean1018938.843
Median Absolute Deviation (MAD)2035588.865
Skewness46.12635698
Sum8694605146
Variance2.162199344e+15
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.00000000e+00 3.50000000e+00 4.50000000e+00 5.50000000e+00 6.50000000e+00 ... 1.12450000e+03 1.16000000e+03 1.91250000e+03 5.50000000e+04 2.14748365e+09], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
1125 3478 40.8%
 
365 550 6.4%
 
30 404 4.7%
 
29 357 4.2%
 
28 330 3.9%
 
90 327 3.8%
 
14 293 3.4%
 
21 254 3.0%
 
180 252 3.0%
 
7 246 2.9%
 
Other values (147) 2042 23.9%
 
ValueCountFrequency (%) 
1 6 0.1%
 
2 5 0.1%
 
3 21 0.2%
 
4 55 0.6%
 
5 120 1.4%
 
ValueCountFrequency (%) 
2147483647 4 < 0.1%
 
100000000 1 < 0.1%
 
100000 1 < 0.1%
 
10000 2 < 0.1%
 
9999 2 < 0.1%
 

maximum_minimum_nights
Real number (ℝ≥0)

SKEWED
HIGH CORRELATION
Distinct count55
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11741.32884
Minimum1
Maximum100000000
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q330
95-th percentile31
Maximum100000000
Range99999999
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1082552.66
Coefficient of variation (CV)92.20018236
Kurtosis8532.999961
Mean11741.32884
Median Absolute Deviation (MAD)23435.66358
Skewness92.37423852
Sum100188759
Variance1.171920262e+12
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.0000e+00 1.5000e+00 2.5000e+00 3.5000e+00 4.5000e+00 ... 1.8550e+02 3.5950e+02 6.8250e+02 1.0625e+03 1.0000e+08], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
30 3374 39.5%
 
2 1573 18.4%
 
1 1269 14.9%
 
3 953 11.2%
 
4 468 5.5%
 
5 241 2.8%
 
365 147 1.7%
 
31 125 1.5%
 
7 92 1.1%
 
32 52 0.6%
 
Other values (45) 239 2.8%
 
ValueCountFrequency (%) 
1 1269 14.9%
 
2 1573 18.4%
 
3 953 11.2%
 
4 468 5.5%
 
5 241 2.8%
 
ValueCountFrequency (%) 
100000000 1 < 0.1%
 
1125 1 < 0.1%
 
1000 1 < 0.1%
 
365 147 1.7%
 
360 2 < 0.1%
 

maximum_nights
Real number (ℝ≥0)

SKEWED
HIGH CORRELATION
Distinct count161
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12259.90332
Minimum1
Maximum100000000
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile7
Q129
median180
Q31125
95-th percentile1125
Maximum100000000
Range99999999
Interquartile range (IQR)1096

Descriptive statistics

Standard deviation1082547.725
Coefficient of variation (CV)88.29985827
Kurtosis8532.978529
Mean12259.90332
Median Absolute Deviation (MAD)23456.10692
Skewness92.37406461
Sum104613755
Variance1.171909578e+12
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.0000e+00 3.5000e+00 4.5000e+00 5.5000e+00 6.5000e+00 ... 1.1245e+03 1.1600e+03 1.9125e+03 5.5000e+04 1.0000e+08], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
1125 3493 40.9%
 
30 430 5.0%
 
29 387 4.5%
 
90 354 4.1%
 
28 353 4.1%
 
14 304 3.6%
 
365 298 3.5%
 
180 258 3.0%
 
7 255 3.0%
 
21 247 2.9%
 
Other values (151) 2154 25.2%
 
ValueCountFrequency (%) 
1 8 0.1%
 
2 5 0.1%
 
3 24 0.3%
 
4 61 0.7%
 
5 122 1.4%
 
ValueCountFrequency (%) 
100000000 1 < 0.1%
 
100000 1 < 0.1%
 
10000 2 < 0.1%
 
9999 2 < 0.1%
 
2000 1 < 0.1%
 

maximum_nights_avg_ntm
Real number (ℝ≥0)

SKEWED
HIGH CORRELATION
Distinct count216
Unique (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1018938.351
Minimum1.0
Maximum2147483647.0
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile7
Q129
median355.9
Q31125
95-th percentile1125
Maximum2147483647
Range2147483646
Interquartile range (IQR)1096

Descriptive statistics

Standard deviation46499455.32
Coefficient of variation (CV)45.6351999
Kurtosis2127.190179
Mean1018938.351
Median Absolute Deviation (MAD)2035588.866
Skewness46.12635698
Sum8694600946
Variance2.162199345e+15
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.00000000e+00 3.50000000e+00 4.05000000e+00 4.55000000e+00 5.50000000e+00 ... 1.12450000e+03 1.16000000e+03 1.91250000e+03 5.50000000e+04 2.14748365e+09], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
1125 3460 40.5%
 
365 462 5.4%
 
30 403 4.7%
 
29 355 4.2%
 
90 325 3.8%
 
14 293 3.4%
 
28 278 3.3%
 
180 252 3.0%
 
7 246 2.9%
 
21 244 2.9%
 
Other values (206) 2215 26.0%
 
ValueCountFrequency (%) 
1 6 0.1%
 
2 5 0.1%
 
3 21 0.2%
 
4 55 0.6%
 
4.1 2 < 0.1%
 
ValueCountFrequency (%) 
2147483647 4 < 0.1%
 
100000000 1 < 0.1%
 
100000 1 < 0.1%
 
10000 2 < 0.1%
 
9999 2 < 0.1%
 

medium_url
Unsupported

MISSING
UNSUPPORTED
Missing8533
Missing (%)100.0%
Memory size66.7 KiB

minimum_maximum_nights
Real number (ℝ≥0)

SKEWED
HIGH CORRELATION
Distinct count159
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1018932.626
Minimum1
Maximum2147483647
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile7
Q129
median210
Q31125
95-th percentile1125
Maximum2147483647
Range2147483646
Interquartile range (IQR)1096

Descriptive statistics

Standard deviation46499455.44
Coefficient of variation (CV)45.63545643
Kurtosis2127.190179
Mean1018932.626
Median Absolute Deviation (MAD)2035588.873
Skewness46.12635698
Sum8694552095
Variance2.162199356e+15
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.00000000e+00 1.50000000e+00 2.50000000e+00 3.50000000e+00 4.50000000e+00 ... 1.12450000e+03 1.16000000e+03 1.91250000e+03 5.50000000e+04 2.14748365e+09], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
1125 3460 40.5%
 
365 462 5.4%
 
30 425 5.0%
 
29 361 4.2%
 
90 326 3.8%
 
14 295 3.5%
 
28 278 3.3%
 
180 252 3.0%
 
7 249 2.9%
 
21 244 2.9%
 
Other values (149) 2181 25.6%
 
ValueCountFrequency (%) 
1 72 0.8%
 
2 70 0.8%
 
3 22 0.3%
 
4 59 0.7%
 
5 120 1.4%
 
ValueCountFrequency (%) 
2147483647 4 < 0.1%
 
100000000 1 < 0.1%
 
100000 1 < 0.1%
 
10000 2 < 0.1%
 
9999 2 < 0.1%
 

minimum_minimum_nights
Real number (ℝ≥0)

SKEWED
HIGH CORRELATION
Distinct count51
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11735.54998
Minimum1
Maximum100000000
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q330
95-th percentile30
Maximum100000000
Range99999999
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1082552.722
Coefficient of variation (CV)92.24558914
Kurtosis8532.999989
Mean11735.54998
Median Absolute Deviation (MAD)23435.66494
Skewness92.37423875
Sum100139448
Variance1.171920396e+12
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.0000e+00 1.5000e+00 2.5000e+00 3.5000e+00 4.5000e+00 ... 1.6500e+02 1.8550e+02 6.8250e+02 1.0625e+03 1.0000e+08], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
30 3484 40.8%
 
1 1681 19.7%
 
2 1569 18.4%
 
3 880 10.3%
 
4 296 3.5%
 
5 164 1.9%
 
31 123 1.4%
 
7 78 0.9%
 
32 52 0.6%
 
60 42 0.5%
 
Other values (41) 164 1.9%
 
ValueCountFrequency (%) 
1 1681 19.7%
 
2 1569 18.4%
 
3 880 10.3%
 
4 296 3.5%
 
5 164 1.9%
 
ValueCountFrequency (%) 
100000000 1 < 0.1%
 
1125 1 < 0.1%
 
1000 1 < 0.1%
 
365 9 0.1%
 
360 2 < 0.1%
 

minimum_nights
Real number (ℝ≥0)

SKEWED
HIGH CORRELATION
Distinct count53
Unique (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11735.67104
Minimum1
Maximum100000000
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q330
95-th percentile30
Maximum100000000
Range99999999
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1082552.721
Coefficient of variation (CV)92.24463746
Kurtosis8532.999989
Mean11735.67104
Median Absolute Deviation (MAD)23435.66491
Skewness92.37423875
Sum100140481
Variance1.171920393e+12
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.0000e+00 1.5000e+00 2.5000e+00 3.5000e+00 4.5000e+00 ... 1.6500e+02 1.8550e+02 6.8250e+02 1.0625e+03 1.0000e+08], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
30 3506 41.1%
 
2 1657 19.4%
 
1 1491 17.5%
 
3 916 10.7%
 
4 320 3.8%
 
5 174 2.0%
 
31 123 1.4%
 
7 79 0.9%
 
32 52 0.6%
 
60 43 0.5%
 
Other values (43) 172 2.0%
 
ValueCountFrequency (%) 
1 1491 17.5%
 
2 1657 19.4%
 
3 916 10.7%
 
4 320 3.8%
 
5 174 2.0%
 
ValueCountFrequency (%) 
100000000 1 < 0.1%
 
1125 1 < 0.1%
 
1000 1 < 0.1%
 
365 9 0.1%
 
360 2 < 0.1%
 

minimum_nights_avg_ntm
Real number (ℝ≥0)

SKEWED
HIGH CORRELATION
Distinct count246
Unique (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11740.41848
Minimum1.0
Maximum100000000.0
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q330
95-th percentile31
Maximum100000000
Range99999999
Interquartile range (IQR)28

Descriptive statistics

Standard deviation1082552.67
Coefficient of variation (CV)92.20733245
Kurtosis8532.999967
Mean11740.41848
Median Absolute Deviation (MAD)23435.6638
Skewness92.37423857
Sum100180990.9
Variance1.171920283e+12
Histogram
Histogram with fixed size bins (bins=10)
Histogram
Histogram with variable size bins (bins=[1.0000e+00 1.0500e+00 1.2500e+00 1.3500e+00 1.9500e+00 ... 3.4315e+02 3.4830e+02 3.6250e+02 1.0625e+03 1.0000e+08], "bayesian blocks" binning strategy used)
ValueCountFrequency (%) 
30 3341 39.2%
 
2 1521 17.8%
 
1 1308 15.3%
 
3 849 9.9%
 
4 294 3.4%
 
5 164 1.9%
 
31 123 1.4%
 
1.3 93 1.1%
 
7 76 0.9%
 
32 52 0.6%
 
Other values (236) 712 8.3%
 
ValueCountFrequency (%) 
1 1308 15.3%
 
1.1 40 0.5%
 
1.2 26 0.3%
 
1.3 93 1.1%
 
1.4 7 0.1%
 
ValueCountFrequency (%) 
100000000 1 < 0.1%
 
1125 1 < 0.1%
 
1000 1 < 0.1%
 
365 9 0.1%
 
360 2 < 0.1%
 

monthly_price
Real number (ℝ≥0)

MISSING
HIGH CORRELATION
Distinct count311
Unique (%)3.6%
Missing7507
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean4343.131579
Minimum700.0
Maximum32000.0
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum700
5-th percentile1456.25
Q12572.5
median3700
Q35030
95-th percentile9574.25
Maximum32000
Range31300
Interquartile range (IQR)2457.5

Descriptive statistics

Standard deviation2923.45002
Coefficient of variation (CV)0.6731202974
Kurtosis17.26377721
Mean4343.131579
Median Absolute Deviation (MAD)1906.797271
Skewness3.11663951
Sum4456053
Variance8546560.019
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3500 42 0.5%
 
2500 33 0.4%
 
4000 33 0.4%
 
3000 31 0.4%
 
4500 30 0.4%
 
5000 27 0.3%
 
3200 25 0.3%
 
6000 19 0.2%
 
3600 15 0.2%
 
4800 14 0.2%
 
Other values (300) 757 8.9%
 
(Missing) 7507 88.0%
 
ValueCountFrequency (%) 
700 2 < 0.1%
 
750 1 < 0.1%
 
880 9 0.1%
 
987 1 < 0.1%
 
1000 1 < 0.1%
 
ValueCountFrequency (%) 
32000 1 < 0.1%
 
25000 3 < 0.1%
 
19500 1 < 0.1%
 
18900 1 < 0.1%
 
18500 1 < 0.1%
 

name
Categorical

HIGH CARDINALITY
Distinct count8172
Unique (%)95.8%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
Union Square Convention Hotel
 
40
Startup House SF Downtown - Private Room
 
29
Stratford Hotel Room Queen
 
25
Alamo Square Startup House Private Cubicle
 
24
The Bartlett QUEEN
 
17
Other values (8167)
8398
ValueCountFrequency (%) 
Union Square Convention Hotel 40 0.5%
 
Startup House SF Downtown - Private Room 29 0.3%
 
Stratford Hotel Room Queen 25 0.3%
 
Alamo Square Startup House Private Cubicle 24 0.3%
 
The Bartlett QUEEN 17 0.2%
 
Studio at Donatello Hotel near Union Square 15 0.2%
 
BARTLETT QUEEN(5th Floor No Elevtor) 14 0.2%
 
Wyndham Canterbury at San Francisco 1 bedroom 11 0.1%
 
Stratford Hotel Twin/Twin 11 0.1%
 
Dorm Room with Private Bathroom 10 0.1%
 
Other values (8162) 8337 97.7%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length121
Mean length40.02097738
Min length2
Scatter

neighborhood_overview
Categorical

MISSING
HIGH CARDINALITY
Distinct count4692
Unique (%)55.0%
Missing2111
Missing (%)24.7%
Memory size66.7 KiB
The Tenderloin District is situated between the Union Square shopping district and the Civic Center office district. Known for its art and music scene, there are many classic concert venues like the Great American Music Hall, and an abundance of underground art spaces. Its funky, colorful streets feature a mix of upscale, trendy and casual restaurants. Nightlife ranges from dark dives slinging beer and shots to speakeasy-style bars mixing craft cocktails.
 
61
Just a couple of blocks from Union Square. This is a wonderful, vibrant neighborhood with lots of restaurants within a short walk. Enjoy!
 
50
This furnished apartment is located in South of Market, known as SoMa. A trendy, urban district, famous for its excellent art and museum scene. Home to a diverse mix of entrepreneurs and young families, this neighborhood offers hip bars, fine dinings and delicious coffee. Don’t miss the plethora of museums, including a visit to the San Francisco Modern Museum of Art. Baseball lovers frequently visit SoMa as it is also home to the San Francisco Giants.
 
42
SoMa, or South of Market, is a fast-growing centrally located neighborhood with beautiful high-rises and a vibrant nightlife. It's the home to Moscone Conference Center and many of San Francisco's museums, as well as the headquarters of several major tech companies.
 
36
The neighborhood is called Nob Hill. You’ll be right around the corner from shops, coffee houses, restaurants, bars on Polk street, and grocery stores including Trader Joe’s and Whole Foods. Take a jog down to China town, or a walk over to Fisherman’s Wharf. A 15 minute bike ride puts you right in the Financial District for an easy commute to and from work. We love the Contraband coffee bar just 2 blocks over for a great atmosphere to work and sip your favorite pour over brew. Everything you need is easy to get to!
 
35
Other values (4686)
6198
ValueCountFrequency (%) 
The Tenderloin District is situated between the Union Square shopping district and the Civic Center office district. Known for its art and music scene, there are many classic concert venues like the Great American Music Hall, and an abundance of underground art spaces. Its funky, colorful streets feature a mix of upscale, trendy and casual restaurants. Nightlife ranges from dark dives slinging beer and shots to speakeasy-style bars mixing craft cocktails. 61 0.7%
 
Just a couple of blocks from Union Square. This is a wonderful, vibrant neighborhood with lots of restaurants within a short walk. Enjoy! 50 0.6%
 
This furnished apartment is located in South of Market, known as SoMa. A trendy, urban district, famous for its excellent art and museum scene. Home to a diverse mix of entrepreneurs and young families, this neighborhood offers hip bars, fine dinings and delicious coffee. Don’t miss the plethora of museums, including a visit to the San Francisco Modern Museum of Art. Baseball lovers frequently visit SoMa as it is also home to the San Francisco Giants. 42 0.5%
 
SoMa, or South of Market, is a fast-growing centrally located neighborhood with beautiful high-rises and a vibrant nightlife. It's the home to Moscone Conference Center and many of San Francisco's museums, as well as the headquarters of several major tech companies. 36 0.4%
 
The neighborhood is called Nob Hill. You’ll be right around the corner from shops, coffee houses, restaurants, bars on Polk street, and grocery stores including Trader Joe’s and Whole Foods. Take a jog down to China town, or a walk over to Fisherman’s Wharf. A 15 minute bike ride puts you right in the Financial District for an easy commute to and from work. We love the Contraband coffee bar just 2 blocks over for a great atmosphere to work and sip your favorite pour over brew. Everything you need is easy to get to! 35 0.4%
 
Haight-Ashbury is an incredible relic of San Francisco’s past. The neighborhood, also known as “The Haight” or “Upper Haight”, succinctly personifies the City’s history, aesthetic, and culture. It is perhaps the most colorful swath of acreage in San Francisco, and remains one of the last-standing neighborhoods to retain an eccentric personality. The Haight rose to fame during the Counterculture Movement during the Vietnam War era; it became a regular feature in international news headlines and incited a global initiative for social change with special thanks to the 1967 Summer of Love, and a little help from Janis Joplin and the Grateful Dead. The Haight-Ashbury neighborhood is nestled in between three parks: Golden Gate Park, the Panhandle, and Buena Vista Park, making it somewhat of an urban oasis. Within the parks you'll find: Museums, botanical gardens, seasonal music festivals, and a tea garden. We recommend: - Eating at a one of the delicious restaurants or food trucks, or catch 34 0.4%
 
This neighbourhood is in the heart of San Francisco, close to everything, and with restaurants, pubs, and a convenience store all in close proximity. 32 0.4%
 
Hayes Valley is in the heart of San Francisco, featuring picturesque Victorian homes, and beautiful green space and community gardens. Known as one of the Bay Area's hippest neighborhoods, charming boutiques, eateries, and bars fill every street. Spend the day relaxing at a sidewalk cafe, or exploring one of the many pop-up art galleries. 30 0.4%
 
Saturated with authentic taquerias, Michelin-starred restaurants, and artisanal bakeries, San Francisco’s Mission District is the culinary hotspot for west coast cuisine. Meander through the colorful, mural-filled streets including the famous Clarion Alley, and get a glimpse into the rich history of the oldest neighborhood in the city. Unwind at Mission Dolores Park and enjoy the 16 acres of green space and beautiful views of downtown. 29 0.3%
 
This house is perfectly located in downtown San Francisco, a 7 minute walk away from Bart station and just 3 blocks away from the Union Square with lots of restaurants and shopping locations. You will stay in a private room, with other like-minded startup house community members. 29 0.3%
 
Other values (4681) 6044 70.8%
 
(Missing) 2111 24.7%
 

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SoMa
 
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Richmond District
 
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SoMa 641 7.5%
 
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Outer Sunset 413 4.8%
 
Downtown 395 4.6%
 
Bernal Heights 395 4.6%
 
Nob Hill 387 4.5%
 
Noe Valley 360 4.2%
 
The Castro 353 4.1%
 
Other values (45) 3887 45.6%
 

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South of Market
 
751
Western Addition
 
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Castro/Upper Market
 
471
Other values (32)
5131
ValueCountFrequency (%) 
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Downtown/Civic Center 761 8.9%
 
South of Market 751 8.8%
 
Western Addition 630 7.4%
 
Castro/Upper Market 471 5.5%
 
Haight Ashbury 413 4.8%
 
Bernal Heights 411 4.8%
 
Noe Valley 336 3.9%
 
Nob Hill 324 3.8%
 
Outer Sunset 319 3.7%
 
Other values (27) 3328 39.0%
 

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This Blueground apartment can be booked for a minimum of one month, to a year or more.
 
200
There is no A/C. This apartment is available for stays of 30 nights or more. If this Sonder isn't open for your dates, please contact us to see what else we have available.
 
89
Vacation Rental License No.: (Phone number hidden by Airbnb) Room service is not provided.
 
44
*Book your stay within 15 days. Anything further out, message me directly. *Pets (under 40lbs & no aggressive breeds) allowed with a $75/mnth pet fee.
 
36
#NAME?
 
30
Other values (3753)
4817
ValueCountFrequency (%) 
This Blueground apartment can be booked for a minimum of one month, to a year or more. 200 2.3%
 
There is no A/C. This apartment is available for stays of 30 nights or more. If this Sonder isn't open for your dates, please contact us to see what else we have available. 89 1.0%
 
Vacation Rental License No.: (Phone number hidden by Airbnb) Room service is not provided. 44 0.5%
 
*Book your stay within 15 days. Anything further out, message me directly. *Pets (under 40lbs & no aggressive breeds) allowed with a $75/mnth pet fee. 36 0.4%
 
#NAME? 30 0.4%
 
Non smoking Community House. No pets allowed. 29 0.3%
 
NOTE: Parking is mandatory valet and is $32 per day. Fitness center hours of operation: 7AM - 1030PM If you would like early check-in, the front desk will do its best to accommodate, but it is not guaranteed. If they are unable to accommodate, they will happily hold your belongings until you are able to check-in. 29 0.3%
 
With over 60 rooms in the San Francisco Bay area, our "Ben|n|Build Community" is large enough in size and diversity for us to organize monthly events. All our members are invited to attend, mingle and expand their network - while enjoying refreshments and food. 25 0.3%
 
One thing to be aware of is that we are known as a very social hostel--it isn't unheard of for our guests to have loud parties in our ballroom. We would love to have you stay here, but we also understand that that environment isn't right for everyone. This is your home away from home, the perfect spot to leave your worries behind while you explore the many sights of the City by the Bay! 24 0.3%
 
There is no A/C or microwave. This apartment is available for stays of 30 nights or more. If this Sonder isn't open for your dates, please contact us to see what else we have available. 20 0.2%
 
Other values (3748) 4690 55.0%
 
(Missing) 3317 38.9%
 

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Histogram
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Histogram
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ValueCountFrequency (%) 
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1 699 8.2%
 
2 433 5.1%
 
3 327 3.8%
 
4 221 2.6%
 
5 176 2.1%
 
6 155 1.8%
 
8 146 1.7%
 
7 124 1.5%
 
9 113 1.3%
 
Other values (409) 4248 49.8%
 
ValueCountFrequency (%) 
0 1891 22.2%
 
1 699 8.2%
 
2 433 5.1%
 
3 327 3.8%
 
4 221 2.6%
 
ValueCountFrequency (%) 
771 1 < 0.1%
 
713 1 < 0.1%
 
710 1 < 0.1%
 
665 1 < 0.1%
 
658 1 < 0.1%
 

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Mini histogram

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Q10
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Descriptive statistics

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Coefficient of variation (CV)1.67812212
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Mean13.33962264
Median Absolute Deviation (MAD)16.22222714
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Histogram
Histogram with fixed size bins (bins=10)
Histogram
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ValueCountFrequency (%) 
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1 1017 11.9%
 
2 603 7.1%
 
3 428 5.0%
 
4 253 3.0%
 
5 214 2.5%
 
6 168 2.0%
 
8 127 1.5%
 
7 117 1.4%
 
9 101 1.2%
 
Other values (123) 2692 31.5%
 
ValueCountFrequency (%) 
0 2813 33.0%
 
1 1017 11.9%
 
2 603 7.1%
 
3 428 5.0%
 
4 253 3.0%
 
ValueCountFrequency (%) 
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180 1 < 0.1%
 
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18
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16
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Other values (8153)
8445
ValueCountFrequency (%) 
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https://a0.muscache.com/im/pictures/6113a86d-7962-41b1-8464-707c9a4f476e.jpg?aki_policy=large 18 0.2%
 
https://a0.muscache.com/im/pictures/49741aea-71b6-4213-96f8-43dd3e4cab1c.jpg?aki_policy=large 16 0.2%
 
https://a0.muscache.com/im/pictures/196bd51c-6bc3-495f-a7f9-39036e89dc8b.jpg?aki_policy=large 14 0.2%
 
https://a0.muscache.com/im/pictures/7fc4f74f-efcc-415d-8606-4c9c2ade36ca.jpg?aki_policy=large 13 0.2%
 
https://a0.muscache.com/im/pictures/717f7848-37aa-43ed-92cd-b04a6fc78b50.jpg?aki_policy=large 12 0.1%
 
https://a0.muscache.com/im/pictures/17e460f6-c6d8-4a43-b6e3-fa7880aee93f.jpg?aki_policy=large 12 0.1%
 
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https://a0.muscache.com/im/pictures/da0d6b3c-91b5-41fc-b0ed-90bbe88ec414.jpg?aki_policy=large 9 0.1%
 
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ValueCountFrequency (%) 
https 8533 100.0%
 
ValueCountFrequency (%) 
a0.muscache.com 8533 100.0%
 
ValueCountFrequency (%) 
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/im/pictures/49741aea-71b6-4213-96f8-43dd3e4cab1c.jpg 16 0.2%
 
/im/pictures/196bd51c-6bc3-495f-a7f9-39036e89dc8b.jpg 14 0.2%
 
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/im/pictures/da0d6b3c-91b5-41fc-b0ed-90bbe88ec414.jpg 9 0.1%
 
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ValueCountFrequency (%) 
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price
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Histogram
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100 247 2.9%
 
200 224 2.6%
 
250 213 2.5%
 
125 163 1.9%
 
199 150 1.8%
 
300 146 1.7%
 
120 140 1.6%
 
90 135 1.6%
 
99 133 1.6%
 
Other values (516) 6708 78.6%
 
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8000 1 < 0.1%
 
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3466
House
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Guest suite
 
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Condominium 910 10.7%
 
Guest suite 592 6.9%
 
Boutique hotel 338 4.0%
 
Hotel 145 1.7%
 
Townhouse 142 1.7%
 
Loft 132 1.5%
 
Serviced apartment 110 1.3%
 
Hostel 77 0.9%
 
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Mini histogram

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4 13 0.2%
 
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5 6 0.1%
 
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(Missing) 1937 22.7%
 
ValueCountFrequency (%) 
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3 1 < 0.1%
 
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5 6 0.1%
 
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ValueCountFrequency (%) 
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Histogram with fixed size bins (bins=10)
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4 9 0.1%
 
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(Missing) 1938 22.7%
 
ValueCountFrequency (%) 
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4 9 0.1%
 
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Quantile statistics

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2 5 0.1%
 
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(Missing) 1937 22.7%
 
ValueCountFrequency (%) 
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5 6 0.1%
 
6 50 0.6%
 
ValueCountFrequency (%) 
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review_scores_communication
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Histogram with fixed size bins (bins=10)
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8 105 1.2%
 
6 28 0.3%
 
7 26 0.3%
 
4 12 0.1%
 
2 10 0.1%
 
5 2 < 0.1%
 
(Missing) 1936 22.7%
 
ValueCountFrequency (%) 
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4 12 0.1%
 
5 2 < 0.1%
 
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ValueCountFrequency (%) 
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9 587 6.9%
 
8 105 1.2%
 
7 26 0.3%
 
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review_scores_location
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Mini histogram

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Descriptive statistics

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Coefficient of variation (CV)0.07397064768
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Mean9.688400303
Median Absolute Deviation (MAD)0.4778649481
Skewness-4.17320771
Sum63895
Variance0.5135976074
Histogram
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9 1245 14.6%
 
8 195 2.3%
 
6 40 0.5%
 
7 33 0.4%
 
4 13 0.2%
 
2 7 0.1%
 
5 4 < 0.1%
 
3 1 < 0.1%
 
(Missing) 1938 22.7%
 
ValueCountFrequency (%) 
2 7 0.1%
 
3 1 < 0.1%
 
4 13 0.2%
 
5 4 < 0.1%
 
6 40 0.5%
 
ValueCountFrequency (%) 
10 5057 59.3%
 
9 1245 14.6%
 
8 195 2.3%
 
7 33 0.4%
 
6 40 0.5%
 

review_scores_rating
Real number (ℝ≥0)

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Memory size66.7 KiB
Mini histogram

Quantile statistics

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95-th percentile100
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Descriptive statistics

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Skewness-4.250673392
Sum630559
Variance52.67942428
Histogram
Histogram with fixed size bins (bins=10)
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100 1965 23.0%
 
98 798 9.4%
 
99 732 8.6%
 
97 626 7.3%
 
96 461 5.4%
 
95 384 4.5%
 
93 263 3.1%
 
94 248 2.9%
 
90 171 2.0%
 
80 166 1.9%
 
Other values (31) 787 9.2%
 
(Missing) 1932 22.6%
 
ValueCountFrequency (%) 
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30 1 < 0.1%
 
40 8 0.1%
 
47 1 < 0.1%
 
50 3 < 0.1%
 
ValueCountFrequency (%) 
100 1965 23.0%
 
99 732 8.6%
 
98 798 9.4%
 
97 626 7.3%
 
96 461 5.4%
 

review_scores_value
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Mini histogram

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Descriptive statistics

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8 423 5.0%
 
6 69 0.8%
 
7 56 0.7%
 
4 13 0.2%
 
2 10 0.1%
 
5 7 0.1%
 
(Missing) 1938 22.7%
 
ValueCountFrequency (%) 
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4 13 0.2%
 
5 7 0.1%
 
6 69 0.8%
 
7 56 0.7%
 
ValueCountFrequency (%) 
10 3433 40.2%
 
9 2584 30.3%
 
8 423 5.0%
 
7 56 0.7%
 
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reviews_per_month
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Mini histogram

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Descriptive statistics

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Coefficient of variation (CV)1.127282003
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Median Absolute Deviation (MAD)1.60358039
Skewness1.815904978
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Histogram
Histogram with fixed size bins (bins=10)
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0.11 88 1.0%
 
0.07 86 1.0%
 
0.09 78 0.9%
 
0.14 77 0.9%
 
0.06 77 0.9%
 
0.13 76 0.9%
 
0.1 72 0.8%
 
0.08 70 0.8%
 
0.15 69 0.8%
 
Other values (800) 5828 68.3%
 
(Missing) 1891 22.2%
 
ValueCountFrequency (%) 
0.01 7 0.1%
 
0.02 21 0.2%
 
0.03 35 0.4%
 
0.04 45 0.5%
 
0.05 51 0.6%
 
ValueCountFrequency (%) 
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21.21 1 < 0.1%
 
17.24 1 < 0.1%
 
14.46 1 < 0.1%
 
13.75 1 < 0.1%
 

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Hotel room
 
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2.01912e+13
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Mini histogram

Quantile statistics

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Descriptive statistics

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Coefficient of variation (CV)1.672668333
Kurtosis14.43026326
Mean462.0528491
Median Absolute Deviation (MAD)446.9850634
Skewness3.485394749
Sum3129946
Variance597314.3861
Histogram
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0 2257 26.5%
 
500 1286 15.1%
 
200 420 4.9%
 
1000 411 4.8%
 
300 399 4.7%
 
100 384 4.5%
 
250 311 3.6%
 
400 195 2.3%
 
150 169 2.0%
 
2000 132 1.5%
 
Other values (86) 810 9.5%
 
(Missing) 1759 20.6%
 
ValueCountFrequency (%) 
0 2257 26.5%
 
95 6 0.1%
 
100 384 4.5%
 
110 1 < 0.1%
 
113 1 < 0.1%
 
ValueCountFrequency (%) 
5100 2 < 0.1%
 
5000 61 0.7%
 
4990 1 < 0.1%
 
4800 2 < 0.1%
 
4725 1 < 0.1%
 

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Daly City, CA
 
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CA
 
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San Francisco
 
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San Francisco, Ca
 
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13
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Daly City, CA 41 0.5%
 
CA 9 0.1%
 
San Francisco 6 0.1%
 
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San Francisco, Hayes Valley, CA 1 < 0.1%
 
South San Francisco, CA 1 < 0.1%
 
Nor cal, CA 1 < 0.1%
 
US, 1 < 0.1%
 
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At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable.
 
253
- Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport
 
60
A comfortable urban oasis in a full service hotel. This hotel room provides a queen size bed and full private bathroom. Ground floor amenities include a pleasant lobby complete with a cozy fireplace, a guest laundry room, and a fully equipped exercise room.
 
51
Our space is designed as a landing pad for entrepreneurs, designers, engineers, innovators, and other creative minds from the broader startup community. We offer a great community and a space that allows our members to live in the exciting, friendly, clean, and safe environment they deserve. A quick fyi: just like an Hotel, when you book with us, you don't chose a specific room. We have several categories depending on how many beds the room has, it's square footage, and the size of the bed. Each listing in our Airbnb account show pictures of a room category example, and this is exactly what you chose: a room category (not the exact room you will stay in). However, even if you don't get the exact room you saw on the pictures, we guarantee it will be a room with the same square footage, the same furniture, and same natural light! ;)
 
45
DESCRIPTION With 400 square feet of space and 10 foot ceilings, these rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including wet-bar and sink, compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. No rollaways are available. Services & Amenities: Spacious studio accommodations 24-hour front desk Concierge services Intimate Italian dining at Zingari Ristorante Indoor valet parking ($32 per night, unlimited in and out privileges) Meeting facilities Dry cleaning services (fee) Rooftop deck Fireplace Exercise facility (7AM - 1030PM) Hot tub Sauna Spa services (fee) ATM machine Internet kiosk in lobby (free) Complimentary wireless Internet access Resort Facts: Check-in time: 3:00 pm Check-out time: 12:00 pm Front desk hours: 24 hours per day Deposit: $50 per day (authorized hold upon Check-in, fully refundable) M
 
29
Other values (5886)
6887
ValueCountFrequency (%) 
At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. 253 3.0%
 
- Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport 60 0.7%
 
A comfortable urban oasis in a full service hotel. This hotel room provides a queen size bed and full private bathroom. Ground floor amenities include a pleasant lobby complete with a cozy fireplace, a guest laundry room, and a fully equipped exercise room. 51 0.6%
 
Our space is designed as a landing pad for entrepreneurs, designers, engineers, innovators, and other creative minds from the broader startup community. We offer a great community and a space that allows our members to live in the exciting, friendly, clean, and safe environment they deserve. A quick fyi: just like an Hotel, when you book with us, you don't chose a specific room. We have several categories depending on how many beds the room has, it's square footage, and the size of the bed. Each listing in our Airbnb account show pictures of a room category example, and this is exactly what you chose: a room category (not the exact room you will stay in). However, even if you don't get the exact room you saw on the pictures, we guarantee it will be a room with the same square footage, the same furniture, and same natural light! ;) 45 0.5%
 
DESCRIPTION With 400 square feet of space and 10 foot ceilings, these rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including wet-bar and sink, compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. No rollaways are available. Services & Amenities: Spacious studio accommodations 24-hour front desk Concierge services Intimate Italian dining at Zingari Ristorante Indoor valet parking ($32 per night, unlimited in and out privileges) Meeting facilities Dry cleaning services (fee) Rooftop deck Fireplace Exercise facility (7AM - 1030PM) Hot tub Sauna Spa services (fee) ATM machine Internet kiosk in lobby (free) Complimentary wireless Internet access Resort Facts: Check-in time: 3:00 pm Check-out time: 12:00 pm Front desk hours: 24 hours per day Deposit: $50 per day (authorized hold upon Check-in, fully refundable) M 29 0.3%
 
Why should you stay with us? The People The Startup House community attracts many talented individuals from around the world. From Stanford students, to developers and entrepreneurs, we provide each with a unique opportunity to network, connect with likeminded people or just make interesting new friends. Share experiences and engaging conversations with our guests, while learning and achieving your goals. The House Each house is conveniently furnished to guarantee you a comfortable stay. Through our 5 locations, everything is done so that you can work, relax, and study. The San Francisco Downtown Startup House is very comfortable and full of interesting individuals, it has 4 bathrooms with showers and a common co-working hall with complimentary tea and coffee. Wifi is available throughout the building and the laundry on the site is free of charge. The kitchen is equipped with all necessary appliances including two refrigerators, electric cooktop with a stove, microwave and coffee make 29 0.3%
 
Why should you stay with us? The People The Startup House community attracts many talented individuals from around the world. From Stanford students, to developers and entrepreneurs, we provide each with a unique opportunity to network, connect with likeminded people or just make interesting new friends. Share experiences and engaging conversations with our guests, while learning and achieving your goals. The House This house is perfectly located in SF, in a calm & high quality area. You will be in a shared room, in your own "cubicle", with a bunk bed just for you. We suggest you sleep on top, and chill out below) The events We organize weekly and monthly events to bring our community together and offer them opportunities to network and grow by meeting new people. Events include parties, dinners or tours around the area, as well as multiple Meetup events. We also organize a monthly Investor Barbecue Pitch Party, where entrepreneurs will have the opportunity to network and present their 24 0.3%
 
Private Room 22 0.3%
 
The workout room means you don't have to leave your routine when you're away from home. The main floor has a free laundry room. WiFi is $4.95/day. Ask about parking charges. 20 0.2%
 
With 400 square feet of space and 10 foot ceilings, the Donatello rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. 18 0.2%
 
Other values (5881) 6774 79.4%
 
(Missing) 1208 14.2%
 

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Mini histogram

Quantile statistics

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95-th percentile2287.5
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Descriptive statistics

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Coefficient of variation (CV)0.7932848145
Kurtosis5.890394294
Mean1041.857143
Median Absolute Deviation (MAD)615
Skewness1.710082977
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Variance683084.8114
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ValueCountFrequency (%) 
1200 10 0.1%
 
1000 9 0.1%
 
1500 6 0.1%
 
500 6 0.1%
 
600 5 0.1%
 
800 5 0.1%
 
750 5 0.1%
 
2000 4 < 0.1%
 
3000 4 < 0.1%
 
300 4 < 0.1%
 
Other values (47) 68 0.8%
 
(Missing) 8407 98.5%
 
ValueCountFrequency (%) 
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1 3 < 0.1%
 
2 2 < 0.1%
 
14 1 < 0.1%
 
120 1 < 0.1%
 
ValueCountFrequency (%) 
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3000 4 < 0.1%
 
2600 1 < 0.1%
 
2300 1 < 0.1%
 
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Daly City, CA, United States
 
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CA, CA, United States
 
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San Francisco, United States
 
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San Francisco, Ca, United States
 
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Daly City, CA, United States 41 0.5%
 
CA, CA, United States 9 0.1%
 
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San Francisco , CA, United States 2 < 0.1%
 
South San Francisco, CA, United States 1 < 0.1%
 
San Francisco, Hayes Valley, CA, United States 1 < 0.1%
 
Nor cal, CA, United States 1 < 0.1%
 
US, United States 1 < 0.1%
 
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At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. Enjoy a stay with Zeus! We have 1375+ reviews (see below).
 
247
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive
 
174
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in
 
49
A hip laid back place to stay in downtown San Francisco with a great location!
 
43
An urban oasis awaits. Your comfortable hotel room is close to Moscone Center and provides the ease of a hotel stay for the discerning business traveler. Larger room than usual in San Francisco. Friendly onsite staff ready to help 24/7. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. Microwave and mini fridge in each room. Queen size bed and full private bathroom. Bag storage at front desk before and after your stay. Offering the lowest rates for a business class hotel near Moscone Center. ***Three night minimum stay during peak weeks. I would be thrilled to host you, book now!
 
38
Other values (6783)
7769
ValueCountFrequency (%) 
At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. Enjoy a stay with Zeus! We have 1375+ reviews (see below). 247 2.9%
 
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive 174 2.0%
 
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in 49 0.6%
 
A hip laid back place to stay in downtown San Francisco with a great location! 43 0.5%
 
An urban oasis awaits. Your comfortable hotel room is close to Moscone Center and provides the ease of a hotel stay for the discerning business traveler. Larger room than usual in San Francisco. Friendly onsite staff ready to help 24/7. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. Microwave and mini fridge in each room. Queen size bed and full private bathroom. Bag storage at front desk before and after your stay. Offering the lowest rates for a business class hotel near Moscone Center. ***Three night minimum stay during peak weeks. I would be thrilled to host you, book now! 38 0.4%
 
Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Fresh towels and bathroom essentials provided - Hotel-standard cleaning before you arrive 37 0.4%
 
The Donatello is a timeshare/hotel which is one of the top hotels in San Francisco. Just show up and check in like any other hotel, no arranging to get keys necessary. - 1 KING BED and 1 QUEEN SLEEPER SOFA - Parking: $32 per night 28 0.3%
 
More than a house, we are a startup founders community. We host entrepreneurs, but also engineers and students who want to start their own business. Live, learn and achieve, while getting the full Silicon Valley experience! Our House is professionally cleaned twice a week. Upon booking, please introduce yourself as well as your startup (or dream) to us, thanks and welcome to our community! 27 0.3%
 
Are you a bootstrapping founder or a techie lacking a private room budget in this crazy-expensive city? Then share a room with your peers or with some other people with the same mindset. Enjoy the community and a friendly, safe, and welcoming environment without breaking your piggy bank. The ideal landing pad for entrepreneurs and other builders/hustlers in San Francisco! For more information about our houses feel free to check: (Website hidden by Airbnb) 26 0.3%
 
Close to Union Square, Nob Hill, Chinatown, and the cable car, this hotel suite offers a quintessential San Francisco experience. Your room at the Worldmark San Francisco is well equipped for exploring the city with a queen size bed, full bathroom, and mini-fridge to store leftovers from the area's great restaurants. 25 0.3%
 
Other values (6778) 7626 89.4%
 
(Missing) 213 2.5%
 

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In such a wonderful neighborhood there are a huge variety of choices for shopping and dining. Moscone Center is within walking distance. Please visit (Website hidden by Airbnb) for information about transportation in San Francisco. This unit is located downtown with many public transportation options.
 
51
A few blocks from Montgomery BART station, and close to the street car, cable car, and Muni-metro.
 
36
The house is right around the corner from the MUNI Bus stop at Clay and Larkin, buses run roughly every 10 minutes. This route takes you directly into the FiDi area and will make your morning ride into the heart of downtown simple. If you’re a biker, we offer secured storage in our back yard. Besides all of these, the city is equipped with multiple gig economy businesses to get you around town. Lyft and Uber are prevalent and offer rides to anywhere you need to go within minutes, Scoot offers motor bike rentals for $3 = 30 minutes, which is enough to take you anywhere in the city. Bird, Spin and Lime offer a brand new option to grab a standup scooter to ride starting at $1. Ford Go bikes and JUMP are the best bike share companies if you don’t want to worry about bringing or purchasing your own bike. Utilizing these great options will keep you out of traffic and getting to where you want to be.
 
35
How to get here from SFO airport : > By Public Transit : Board the BART towards San Francisco. Get off at the UN Plaza stop and walk to the northwest corner of Market St. Board the 7 or 7R Bus to Haight and get off at the Clayton St Stop. Walk to 1665 Haight St. You can also take the 6 to Masonic St, and walk 3 blocks to The Red Vic. > By Car Share Taxi : If you have a smart phone and access to the internet you can take advantage of one of the car sharing services in San Francisco. These services offer a convenient app, faster pick-ups and lower prices than taxis. You can use Lyft or Uber. For Lyft, use the code KYLE2242 to get $10 in free rides. Lyft has multiple services and Lyft Line will be the least expensive option. For Uber, use the code FFT3C to get $10 in free rides. Uber has multiple services and Uber Pool will be the least expensive option. > By Taxi Service : You can call Yellow Cab for a pickup. Valet Parking: Another option which we have heard good things about is L
 
29
The closest bus stop is just 100ft away!
 
29
Other values (4655)
5747
ValueCountFrequency (%) 
In such a wonderful neighborhood there are a huge variety of choices for shopping and dining. Moscone Center is within walking distance. Please visit (Website hidden by Airbnb) for information about transportation in San Francisco. This unit is located downtown with many public transportation options. 51 0.6%
 
A few blocks from Montgomery BART station, and close to the street car, cable car, and Muni-metro. 36 0.4%
 
The house is right around the corner from the MUNI Bus stop at Clay and Larkin, buses run roughly every 10 minutes. This route takes you directly into the FiDi area and will make your morning ride into the heart of downtown simple. If you’re a biker, we offer secured storage in our back yard. Besides all of these, the city is equipped with multiple gig economy businesses to get you around town. Lyft and Uber are prevalent and offer rides to anywhere you need to go within minutes, Scoot offers motor bike rentals for $3 = 30 minutes, which is enough to take you anywhere in the city. Bird, Spin and Lime offer a brand new option to grab a standup scooter to ride starting at $1. Ford Go bikes and JUMP are the best bike share companies if you don’t want to worry about bringing or purchasing your own bike. Utilizing these great options will keep you out of traffic and getting to where you want to be. 35 0.4%
 
How to get here from SFO airport : > By Public Transit : Board the BART towards San Francisco. Get off at the UN Plaza stop and walk to the northwest corner of Market St. Board the 7 or 7R Bus to Haight and get off at the Clayton St Stop. Walk to 1665 Haight St. You can also take the 6 to Masonic St, and walk 3 blocks to The Red Vic. > By Car Share Taxi : If you have a smart phone and access to the internet you can take advantage of one of the car sharing services in San Francisco. These services offer a convenient app, faster pick-ups and lower prices than taxis. You can use Lyft or Uber. For Lyft, use the code KYLE2242 to get $10 in free rides. Lyft has multiple services and Lyft Line will be the least expensive option. For Uber, use the code FFT3C to get $10 in free rides. Uber has multiple services and Uber Pool will be the least expensive option. > By Taxi Service : You can call Yellow Cab for a pickup. Valet Parking: Another option which we have heard good things about is L 29 0.3%
 
The closest bus stop is just 100ft away! 29 0.3%
 
We are surrounded by numerous MUNI bus and train lines making it easy to get around the city if you're without a car. We're a 15 minute walk away of the Montgomery BART station - a good place to get off if you're taking the BART train to us from the airport. If you are driving, a discount parking coupon is available at check-in for a nearby parking garage for $20 for a standard vehicle. Please use our loading zone in front of the hostel to unload your luggage and collect the parking coupon. 25 0.3%
 
Getting around the city is convenient using MUNI, the public transportation system which includes buses, trolleys, underground and surface trains and the famed cable cars. Please see the front desk for more information. 25 0.3%
 
To locate transportation and elements around the house, please use Alamo Square Park as a reference point. The house is at walking distance to buses 5,22,89 and more, as well as the Bart Civic Station. 25 0.3%
 
We are located in the transportation hub of the entire city. 19 0.2%
 
Walk and take public transportation to anywhere in San Francisco. The unit is within walking distance of major attractions and conventions. All forms of public transportation are nearby. Walk to San Francisco's largest conventions at the Moscone Center. 17 0.2%
 
Other values (4650) 5636 66.0%
 
(Missing) 2606 30.5%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length1000
Mean length232.4577523
Min length3
Scatter

weekly_price
Real number (ℝ≥0)

MISSING
HIGH CORRELATION
Distinct count322
Unique (%)3.8%
Missing7480
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean1360.642925
Minimum250.0
Maximum9999.0
Zeros0
Zeros (%)0.0%
Memory size66.7 KiB
Mini histogram

Quantile statistics

Minimum250
5-th percentile451.2
Q1750
median1050
Q31547
95-th percentile3200
Maximum9999
Range9749
Interquartile range (IQR)797

Descriptive statistics

Standard deviation1055.749173
Coefficient of variation (CV)0.7759193496
Kurtosis15.45612199
Mean1360.642925
Median Absolute Deviation (MAD)674.7972699
Skewness3.219535679
Sum1432757
Variance1114606.317
Histogram
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1000 49 0.6%
 
1200 37 0.4%
 
700 34 0.4%
 
1500 30 0.4%
 
800 27 0.3%
 
900 26 0.3%
 
1400 24 0.3%
 
600 24 0.3%
 
850 24 0.3%
 
750 23 0.3%
 
Other values (311) 755 8.8%
 
(Missing) 7480 87.7%
 
ValueCountFrequency (%) 
250 1 < 0.1%
 
270 1 < 0.1%
 
280 1 < 0.1%
 
300 12 0.1%
 
329 9 0.1%
 
ValueCountFrequency (%) 
9999 1 < 0.1%
 
9500 1 < 0.1%
 
9000 1 < 0.1%
 
7500 1 < 0.1%
 
7000 3 < 0.1%
 

xl_picture_url
Unsupported

MISSING
UNSUPPORTED
Missing8533
Missing (%)100.0%
Memory size66.7 KiB

zipcode
Categorical

MISSING
Distinct count48
Unique (%)0.6%
Missing245
Missing (%)2.9%
Memory size66.7 KiB
94110
1009
94117
 
699
94114
 
668
94109
 
664
94103
 
530
Other values (42)
4718
ValueCountFrequency (%) 
94110 1009 11.8%
 
94117 699 8.2%
 
94114 668 7.8%
 
94109 664 7.8%
 
94103 530 6.2%
 
94102 473 5.5%
 
94112 408 4.8%
 
94122 367 4.3%
 
94107 351 4.1%
 
94108 291 3.4%
 
Other values (37) 2828 33.1%
 

Composition

Contains charsTrue
Contains digitsTrue
Contains whitespaceTrue
Contains non-wordsTrue

Length

Max length8
Mean length5.004453299
Min length2
Scatter

Correlations

Missing values

Sample

First rows

accessaccommodatesamenitiesavailability_30availability_365availability_60availability_90bathroomsbed_typebedroomsbedscalculated_host_listings_countcalculated_host_listings_count_entire_homescalculated_host_listings_count_private_roomscalculated_host_listings_count_shared_roomscalendar_last_scrapedcalendar_updatedcancellation_policycitycleaning_feecountrycountry_codedescriptionexperiences_offeredextra_peoplefirst_reviewguests_includedhas_availabilityhost_abouthost_acceptance_ratehost_has_profile_pichost_idhost_identity_verifiedhost_is_superhosthost_listings_counthost_locationhost_namehost_neighbourhoodhost_picture_urlhost_response_ratehost_response_timehost_sincehost_thumbnail_urlhost_total_listings_counthost_urlhost_verificationshouse_rulesidinstant_bookableinteractionis_business_travel_readyis_location_exactjurisdiction_nameslast_reviewlast_scrapedlatitudelicenselisting_urllongitudemarketmaximum_maximum_nightsmaximum_minimum_nightsmaximum_nightsmaximum_nights_avg_ntmmedium_urlminimum_maximum_nightsminimum_minimum_nightsminimum_nightsminimum_nights_avg_ntmmonthly_pricenameneighborhood_overviewneighbourhoodneighbourhood_cleansedneighbourhood_group_cleansednotesnumber_of_reviewsnumber_of_reviews_ltmpicture_urlpriceproperty_typerequire_guest_phone_verificationrequire_guest_profile_picturerequires_licensereview_scores_accuracyreview_scores_checkinreview_scores_cleanlinessreview_scores_communicationreview_scores_locationreview_scores_ratingreview_scores_valuereviews_per_monthroom_typescrape_idsecurity_depositsmart_locationspacesquare_feetstatestreetsummarythumbnail_urltransitweekly_pricexl_picture_urlzipcode
0*Full access to patio and backyard (shared wit...3{TV,"Cable TV",Internet,Wifi,Kitchen,"Pets liv...2714121.0Real Bed1.02.0110012/4/197 weeks agomoderateSan Francisco$100.00United StatesUSNew update: the house next door is under const...none$25.007/23/092tWe are a family with 2 boys born in 2009 and 2...NaNt1169tt1.0San Francisco, California, United StatesHollyDuboce Trianglehttps://a0.muscache.com/im/pictures/user/efdad...86%within a day7/31/08https://a0.muscache.com/im/pictures/user/efdad...1.0https://www.airbnb.com/users/show/1169['email', 'phone', 'facebook', 'reviews', 'kba']* No Pets - even visiting guests for a short t...958fA family of 4 lives upstairs with their dog. N...ft{"SAN FRANCISCO"}11/17/1912/4/1937.76931STR-0001256https://www.airbnb.com/rooms/958-122.43386San Francisco3013030.0NaN30111.04200.0Bright, Modern Garden Unit - 1BR/1B*Quiet cul de sac in friendly neighborhood *St...Duboce TriangleWestern AdditionNaNDue to the fact that we have children and a do...22651https://a0.muscache.com/im/pictures/b7c2a199-4...170.0Apartmentfft10.010.010.010.010.097.09.01.79Entire home/apt2.019120e+13100.0San Francisco, CANewly remodeled, modern, and bright garden uni...NaNCASan Francisco, CA, United StatesNew update: the house next door is under const...NaN*Public Transportation is 1/2 block away. *Ce...1120.0NaN94117
1During the hours of 7:00 to 22:00, your access...2{Internet,Wifi,Kitchen,Breakfast,"Free street ...187444741.0Real Bed1.01.0303012/4/19todaystrict_14_with_grace_periodSan Francisco$10.00United StatesUSYour own private room plus access to a shared ...none$20.007/16/092tI am a retired software developer now raising ...NaNt4921tt2.0San Francisco, California, United StatesKevinInner Sunsethttps://a0.muscache.com/im/pictures/user/97d29...100%within an hour12/8/08https://a0.muscache.com/im/pictures/user/97d29...2.0https://www.airbnb.com/users/show/4921['email', 'phone', 'reviews', 'jumio', 'govern...Airbnb has no default house rules that hosts c...3850fI live at the house in my own bedroom, and I w...ft{"SAN FRANCISCO"}12/1/1912/4/1937.75402STR-0000346https://www.airbnb.com/rooms/3850-122.45805San Francisco5155.0NaN5111.0NaNCharming room for twoThis is a quiet, safe neighborhood on a substa...Inner SunsetInner SunsetNaNHouse Rule footnotes: 1.\tI don’t allow check ...17551https://a0.muscache.com/im/pictures/b6e97d2a-1...99.0Housefft10.010.010.010.010.095.010.01.38Private room2.019120e+130.0San Francisco, CAThis room can fit two people. Nobody else will...NaNCASan Francisco, CA, United StatesYour own private room plus access to a shared ...NaNPublic transit service to my house is outstand...NaNNaN94131
2Our deck, garden, gourmet kitchen and extensiv...5{Internet,Wifi,Kitchen,Heating,"Family/kid fri...11111.0Real Bed2.03.0110012/5/192 months agostrict_14_with_grace_periodSan Francisco$100.00United StatesUSWe live in a large Victorian house on a quiet ...none$0.005/3/092tPhilip: English transplant to the Bay Area and...NaNt8904tf2.0San Francisco, California, United StatesPhilip And TaniaBernal Heightshttps://a0.muscache.com/im/users/8904/profile_...60%within a day3/2/09https://a0.muscache.com/im/users/8904/profile_...2.0https://www.airbnb.com/users/show/8904['email', 'phone', 'reviews', 'kba', 'work_ema...Please respect the house, the art work, the fu...5858fNaNft{"SAN FRANCISCO"}8/6/1712/5/1937.74511NaNhttps://www.airbnb.com/rooms/5858-122.42102San Francisco60306060.0NaN60303030.05500.0Creative SanctuaryI love how our neighborhood feels quiet but is...Bernal HeightsBernal HeightsNaNAll the furniture in the house was handmade so...1110https://a0.muscache.com/im/pictures/17714/3a7a...235.0Apartmentfft10.010.010.010.010.098.09.00.86Entire home/apt2.019120e+13NaNSan Francisco, CAWe live in a large Victorian house on a quiet ...NaNCASan Francisco, CA, United StatesNaNNaNThe train is two blocks away and you can stop ...1600.0NaN94110
3NaN2{TV,Internet,Wifi,Kitchen,"Free street parking...3036560904.0Real Bed1.01.0909012/4/193 weeks agostrict_14_with_grace_periodSan Francisco$50.00United StatesUSNice and good public transportation. 7 minute...none$12.008/31/091t7 minutes walk to UCSF hospital & school campu...NaNt21994tt10.0San Francisco, California, United StatesAaronCole Valleyhttps://a0.muscache.com/im/users/21994/profile...83%within an hour6/17/09https://a0.muscache.com/im/users/21994/profile...10.0https://www.airbnb.com/users/show/21994['email', 'phone', 'reviews', 'jumio', 'govern...No party, No smoking, not for any kinds of smo...7918fNaNft{"SAN FRANCISCO"}9/10/1912/4/1937.76669NaNhttps://www.airbnb.com/rooms/7918-122.45250San Francisco60326060.0NaN60323232.01685.0A Friendly Room - UCSF/USF - San FranciscoShopping old town, restaurants, McDonald, Whol...Cole ValleyHaight AshburyNaNWi-Fi signal in common areas. Large eat in k...181https://a0.muscache.com/im/pictures/26356/8030...65.0Apartmentfft8.09.08.09.09.086.08.00.14Private room2.019120e+13200.0San Francisco, CASettle down, S.F. resident, student, hospital,...NaNCASan Francisco, CA, United StatesNice and good public transportation. 7 minute...NaNN Juda Muni and bus stop. Street parking.485.0NaN94117
4NaN2{TV,Internet,Wifi,Kitchen,"Free street parking...3036560904.0Real Bed1.01.0909012/4/194 months agostrict_14_with_grace_periodSan Francisco$50.00United StatesUSNice and good public transportation. 7 minute...none$12.009/8/141t7 minutes walk to UCSF hospital & school campu...NaNt21994tt10.0San Francisco, California, United StatesAaronCole Valleyhttps://a0.muscache.com/im/users/21994/profile...83%within an hour6/17/09https://a0.muscache.com/im/users/21994/profile...10.0https://www.airbnb.com/users/show/21994['email', 'phone', 'reviews', 'jumio', 'govern...no pet no smoke no party inside the building8142fNaNft{"SAN FRANCISCO"}9/12/1812/4/1937.76487NaNhttps://www.airbnb.com/rooms/8142-122.45183San Francisco90329090.0NaN90323232.01685.0Friendly Room Apt. Style -UCSF/USF - San Franc...NaNCole ValleyHaight AshburyNaNWi-Fi signal in common areas. Large eat in k...80https://a0.muscache.com/im/pictures/27832/3b1f...65.0Apartmentfft9.010.09.010.09.093.09.00.13Private room2.019120e+13200.0San Francisco, CASettle down, S.F. resident, student, hospital,...NaNCASan Francisco, CA, United StatesNice and good public transportation. 7 minute...NaNN Juda Muni, Bus and UCSF Shuttle. small shopp...490.0NaN94117
5Guests have access to everything listed and sh...4{TV,Internet,Wifi,Kitchen,"Free street parking...3036560901.5Real Bed2.02.0220012/4/192 weeks agomoderateSan Francisco$175.00United StatesUSPls email before booking. Interior featured i...none$300.009/25/091tI'm an Interior Stylist living in SF. \r\n\r\n...NaNt24215tf2.0San Francisco, California, United StatesRosyAlamo Squarehttps://a0.muscache.com/im/pictures/user/6e05b...100%within a few hours7/2/09https://a0.muscache.com/im/pictures/user/6e05b...2.0https://www.airbnb.com/users/show/24215['email', 'phone', 'reviews', 'kba']House Manual and House Rules will be provided ...8339fNaNft{"SAN FRANCISCO"}6/28/1912/4/1937.77525STR-0000264https://www.airbnb.com/rooms/8339-122.43637San Francisco1115111111.0NaN111555.0NaNHistoric Alamo Square VictorianNaNAlamo SquareWestern AdditionNaNtax ID on file tax ID on file281https://a0.muscache.com/im/pictures/213fbf05-3...585.0Condominiumttt10.010.010.010.010.097.010.00.23Entire home/apt2.019120e+130.0San Francisco, CAPlease send us a quick message before booking ...NaNCASan Francisco, CA, United StatesPls email before booking. Interior featured i...NaNNaNNaNNaN94117
6You'll have your own bedroom and private bathr...3{TV,"Cable TV",Internet,Wifi,"Pets live on thi...00001.0Real Bed1.02.0202012/4/19todaystrict_14_with_grace_periodSan Francisco$50.00United StatesUSWelcome to "The Mission," the sunniest neighbo...none$60.008/1/092tIvan is a publisher of a book for 4 year olds....NaNt7149ft2.0San Francisco, California, United StatesIvan & WendyMission Districthttps://a0.muscache.com/im/users/7149/profile_...100%within an hour1/27/09https://a0.muscache.com/im/users/7149/profile_...2.0https://www.airbnb.com/users/show/7149['email', 'phone', 'reviews', 'kba', 'work_ema...PLEASE READ: By booking, you agree to all of t...8739tWe are experienced Airbnb hosts, and have had ...ft{"SAN FRANCISCO"}12/1/1912/4/1937.75919STR-0000028https://www.airbnb.com/rooms/8739-122.42237San Francisco1411414.0NaN14111.09999.0Mission Sunshine, with Private BathLocated between Valencia Street and Dolores Pa...Mission DistrictMissionNaNWe live in a dense, urban neighborhood, and ou...71383https://a0.muscache.com/im/pictures/80811/7a57...139.0Condominiumfft10.010.010.010.010.098.09.05.66Private room2.019120e+130.0San Francisco, CAYour sunny room looks out over a lush garden, ...NaNCASan Francisco, CA, United StatesWelcome to "The Mission," the sunniest neighbo...NaNIt's an easy and enjoyable 10 minute stroll to...NaNNaN94110
7Laundry privileges, Spacious Garden with City ...2{TV,"Cable TV",Internet,Wifi,Kitchen,"Pets liv...11111.0Real Bed1.01.0101012/5/193 days agostrict_14_with_grace_periodSan Francisco$50.00United StatesUSA Unique Guest Suite! A Spacious Art Filled ...none$0.0010/26/091tThe apartment is on the ground floor of the ho...NaNt29674tt1.0San Francisco, California, United StatesGaePotrero Hillhttps://a0.muscache.com/im/users/29674/profile...100%within an hour8/4/09https://a0.muscache.com/im/users/29674/profile...1.0https://www.airbnb.com/users/show/29674['email', 'phone', 'facebook', 'reviews', 'kba']We are respectful of the privacy of our renter...9225fWe are available to make suggestions to enhanc...ft{"SAN FRANCISCO"}11/22/1912/5/1937.76259STR-0000179https://www.airbnb.com/rooms/9225-122.40543San Francisco3651365365.0NaN365111.04000.0Artful Potrero Separate Floor with GardenIt is a distinct neighborhood, with easy acces...Potrero HillPotrero HillNaNNaN52388https://a0.muscache.com/im/pictures/80742/6401...135.0Housefft10.010.09.010.010.094.09.04.25Private room2.019120e+13NaNSan Francisco, CAIt is unique, very spacious [800 sq. ft. with...NaNCASan Francisco, CA, United StatesA Unique Guest Suite! A Spacious Art Filled ...NaNThere are buses within a block to connect to a...1000.0NaN94107
8You are welcome to relax and enjoy our backyar...4{TV,"Cable TV",Internet,Wifi,Kitchen,"Free str...00001.0Real Bed2.03.0110012/4/193 weeks agomoderateSan Francisco$100.00United StatesUSPlease read this before you book! Second floor...none$0.009/12/091tComing from SF.NaNt35199tt1.0San Francisco, California, United StatesRoman & SarahMission Districthttps://a0.muscache.com/im/users/35199/profile...100%within a few hours8/31/09https://a0.muscache.com/im/users/35199/profile...1.0https://www.airbnb.com/users/show/35199['email', 'phone', 'facebook', 'reviews', 'kba']Basic rules: No smoking inside the suite or on...10251fFeel free to knock on the downstairs door if y...ft{"SAN FRANCISCO"}5/27/1912/4/1937.75874STR-0001558https://www.airbnb.com/rooms/10251-122.41327San Francisco60306060.0NaN60303030.05400.0Victorian Suite in Inner MissionNeighborhood is safe, sunny, lively and fun. ...Mission DistrictMissionNaNSan Francisco Office of Short-Term Rentals Bus...33728https://a0.muscache.com/im/pictures/30649314/e...199.0Housefft10.010.010.010.010.096.09.02.71Entire home/apt2.019120e+13500.0San Francisco, CAPlease read this before you book! Second floor...NaNCASan Francisco, CA, United StatesNaNNaNSF Muni line 12, bus stop is a block away from...1540.0NaN94110
9Shared access to the roof deck. The studio is ...2{TV,"Cable TV",Internet,Wifi,Kitchen,Elevator,...2936459891.0Real Bed0.01.0110012/4/194 months agomoderateSan Francisco$75.00United StatesUSA cute studio with nice street views and lots ...none$0.0012/23/112tI'm a writer, and encourage visiting writers a...NaNt37049tf0.0San Francisco, California, United StatesAndrewNob Hillhttps://a0.muscache.com/im/pictures/user/885cb...NaNNaN9/8/09https://a0.muscache.com/im/pictures/user/885cb...0.0https://www.airbnb.com/users/show/37049['email', 'phone', 'reviews', 'jumio', 'govern...No smoking, no pets. Sorry.10578fUsually zero, as the place is set up with door...ft{"SAN FRANCISCO"}5/17/1512/4/1937.79143NaNhttps://www.airbnb.com/rooms/10578-122.41544San Francisco18030180180.0NaN180303030.02875.0Classic Nob Hill Studio - Roof DeckVery centrally located. Fishermans Wharf, Chi...Nob HillNob HillNaNNaN180https://a0.muscache.com/im/pictures/2249128/7f...120.0Apartmenttft10.010.010.010.010.099.010.00.19Entire home/apt2.019120e+13500.0San Francisco, CAFeatures: Elevator, Wood floors, TV, DVD Play...NaNCASan Francisco, CA, United StatesA cute studio with nice street views and lots ...NaNThe California 1 bus, which runs from downtown...1150.0NaN94109

Last rows

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8523NaN2{TV,"Pets allowed",Breakfast,Heating,"Smoke de...258555851.0Real Bed0.00.0101012/4/193 days agoflexibleSan Francisco$25.00United StatesUSThis apartment is in one of the most desirable...none$0.00NaN1tI speak French and Russian fluently. I love an...NaNt6241556tf0.0San Francisco, California, United StatesEmilyMission Districthttps://a0.muscache.com/im/pictures/user/fdfd8...NaNNaN5/5/13https://a0.muscache.com/im/pictures/user/fdfd8...0.0https://www.airbnb.com/users/show/6241556['email', 'phone', 'reviews', 'kba', 'work_ema...NaN40513848tNaNft{"SAN FRANCISCO"}NaN12/4/1937.75738NaNhttps://www.airbnb.com/rooms/40513848-122.40971San Francisco11253011251125.0NaN1125303030.0NaNBrand new luxury studio room in the MissionThe neighborhood is awesome. Its so close to t...NaNMissionNaNNaN00https://a0.muscache.com/im/pictures/77fd1a49-0...160.0CondominiumfftNaNNaNNaNNaNNaNNaNNaNNaNPrivate room2.019120e+130.0San Francisco, CAThe room is quite large, about 600 square feet...NaNCASan Francisco, CA, United StatesThis apartment is in one of the most desirable...NaNNaNNaNNaN94110
8524NaN2{Wifi,Heating,"Smoke detector","Carbon monoxid...285757571.0Real Bed1.01.0202012/4/19todayflexibleSan FranciscoNaNUnited StatesUSWe are kind and friendly people looking for wo...none$0.00NaN1tNaNNaNt313682675ff0.0USConnorBayviewhttps://a0.muscache.com/im/pictures/user/b9a50...NaNNaN12/2/19https://a0.muscache.com/im/pictures/user/b9a50...0.0https://www.airbnb.com/users/show/313682675['email', 'phone']NaN40516145tNaNft{"SAN FRANCISCO"}NaN12/4/1937.72165City Registration Pendinghttps://www.airbnb.com/rooms/40516145-122.39398San Francisco1125111251125.0NaN1125111.0NaNCozy Private Room; 8 mins to Dwntwn and SFONaNNaNBayviewNaNNaN00https://a0.muscache.com/im/pictures/0b5bd03b-8...0.0ApartmentfftNaNNaNNaNNaNNaNNaNNaNNaNPrivate room2.019120e+13NaNSan Francisco, CANaNNaNCASan Francisco, CA, United StatesWe are kind and friendly people looking for wo...NaNNaNNaNNaN94124
8525Entire apartment2{TV,Wifi,Elevator,Heating,"Suitable for events...233732621.5Real Bed1.01.0110012/4/19yesterdaystrict_14_with_grace_periodSan Francisco$90.00United StatesUSBeautiful 20-unit loft building located on a q...none$0.00NaN1tHi Im Bryan. Please read the house rules. En...NaNt6135094tf0.0San Francisco, California, United StatesBryanSoMahttps://a0.muscache.com/im/users/6135094/profi...NaNNaN4/28/13https://a0.muscache.com/im/users/6135094/profi...0.0https://www.airbnb.com/users/show/6135094['email', 'phone', 'facebook', 'reviews', 'jum...Credit report and rental history required -\tT...40516531fNaNft{"SAN FRANCISCO"}NaN12/4/1937.78027NaNhttps://www.airbnb.com/rooms/40516531-122.39637San Francisco112518011251125.0NaN1125180180180.0NaNSunny, Quiet and Modern Loft (Furnished Sublet)Located in the heart of South Beach/SOMA/Ballp...NaNSouth of MarketNaNNaN00https://a0.muscache.com/im/pictures/07b56c0a-8...137.0LofttttNaNNaNNaNNaNNaNNaNNaNNaNEntire home/apt2.019120e+133500.0San Francisco, CA-\tFull bathroom upstairs, convenient half bat...NaNCASan Francisco, CA, United StatesBeautiful 20-unit loft building located on a q...NaN- 2 blocks from King Street Caltrain and ...NaNNaN94107
8526NaN3{TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke d...248454841.0Real Bed1.01.026150012/4/19yesterdayflexibleSan Francisco$285.00United StatesUSThis beautiful and spacious one bedroom flat i...none$0.00NaN1tHello everyone and thank you for checking out ...NaNt1479964tf28.0San Francisco, California, United StatesJamesThe Castrohttps://a0.muscache.com/im/users/1479964/profi...90%within an hour12/6/11https://a0.muscache.com/im/users/1479964/profi...28.0https://www.airbnb.com/users/show/1479964['email', 'phone', 'reviews', 'jumio', 'offlin...Quiet hours 10pm to 8am No Shoes on Hardwood f...40538518tAvailable anytime but do not live on site.ft{"SAN FRANCISCO"}NaN12/4/1937.79912NaNhttps://www.airbnb.com/rooms/40538518-122.42363San Francisco18030180180.0NaN180303030.0NaNSpacious Russian Hill 1 Bedroom Russian with ViewRussian Hill is a quaint, upscale residential ...NaNRussian HillNaNNaN00https://a0.muscache.com/im/pictures/a4636d27-0...175.0ApartmentfftNaNNaNNaNNaNNaNNaNNaNNaNEntire home/apt2.019120e+130.0San Francisco, CAThis property has hardwood floors all througho...NaNCASan Francisco, CA, United StatesThis beautiful and spacious one bedroom flat i...NaNWalk Score of 98 out of 100. This location is ...NaNNaN94109
8527NaN1{Wifi,Kitchen,"Smoke detector","Carbon monoxid...3036560901.0Real Bed1.0NaN202012/4/19yesterdayflexibleSan FranciscoNaNUnited StatesUSAt least 30 nights policy. The building is ver...none$0.00NaN1tHappy to have you here. Like to build trust.NaNt256885825ff2.0Berkeley, California, United StatesNaeemRussian Hillhttps://a0.muscache.com/im/pictures/user/a86ef...100%within an hour4/19/19https://a0.muscache.com/im/pictures/user/a86ef...2.0https://www.airbnb.com/users/show/256885825['email', 'phone', 'offline_government_id', 'g...NaN40539735tAlways available.ft{"SAN FRANCISCO"}NaN12/4/1937.80101NaNhttps://www.airbnb.com/rooms/40539735-122.41590San Francisco11253011251125.0NaN1125303030.0NaNPrivate Space in a Shared Room in Heart of SFVery close to restaurants, bars, public transp...NaNRussian HillNaNNaN00https://a0.muscache.com/im/pictures/5f5ea788-b...30.0ApartmentfftNaNNaNNaNNaNNaNNaNNaNNaNPrivate room2.019120e+13NaNSan Francisco, CAWe keep the shared areas clean. Please clean a...NaNCASan Francisco, CA, United StatesAt least 30 nights policy. The building is ver...NaNPublic transportations are within walking dist...NaNNaN94133
8528NaN2{TV,Wifi,"Air conditioning",Kitchen,"Indoor fi...233732621.5Real Bed1.02.0211012/4/19yesterdayflexibleSan Francisco$50.00United StatesUSA place for zen with a beautiful patio and bac...none$0.00NaN1tNaNNaNt39425074ff2.0San Francisco, California, United StatesSamNaNhttps://a0.muscache.com/im/pictures/user/3cffe...50%within a day7/24/15https://a0.muscache.com/im/pictures/user/3cffe...2.0https://www.airbnb.com/users/show/39425074['email', 'phone', 'reviews', 'jumio', 'offlin...We would appreciate if don’t wear any shoes in...40544136tNaNff{"SAN FRANCISCO"}NaN12/4/1937.79017NaNhttps://www.airbnb.com/rooms/40544136-122.43869San Francisco18030180180.0NaN180303030.0NaNEntire apartment in Pacific Heights/beautiful ...NaNNaNPacific HeightsNaNNaN00https://a0.muscache.com/im/pictures/cac19a4c-0...95.0ApartmentfftNaNNaNNaNNaNNaNNaNNaNNaNEntire home/apt2.019120e+130.0San Francisco, CANaNNaNCASan Francisco, CA, United StatesA place for zen with a beautiful patio and bac...NaNNaNNaNNaN94115
8529NaN2{Wifi,Heating,"Smoke detector","Carbon monoxid...305959591.0Real Bed1.0NaN202012/4/19todayflexibleSan FranciscoNaNUnited StatesUSWe are kind and friendly people looking for wo...none$0.00NaN1tNaNNaNt313682675ff0.0USConnorBayviewhttps://a0.muscache.com/im/pictures/user/b9a50...NaNNaN12/2/19https://a0.muscache.com/im/pictures/user/b9a50...0.0https://www.airbnb.com/users/show/313682675['email', 'phone']NaN40546145tNaNft{"SAN FRANCISCO"}NaN12/4/1937.71977City Registration Pendinghttps://www.airbnb.com/rooms/40546145-122.39214San Francisco1125111251125.0NaN1125111.0NaNHuge Private Room; 8 min to Dwntwn SF & SFONaNNaNBayviewNaNNaN00https://a0.muscache.com/im/pictures/b220ab0d-f...55.0ApartmentfftNaNNaNNaNNaNNaNNaNNaNNaNPrivate room2.019120e+13NaNSan Francisco, CANaNNaNCASan Francisco, CA, United StatesWe are kind and friendly people looking for wo...NaNNaNNaNNaN94124
8530You'll have the entire boat for yourself. If y...2{TV,Wifi,Kitchen,"Free parking on premises","F...2317353830.5Real Bed1.01.0110012/4/19yesterdaymoderateSan Francisco$100.00United StatesUSExperience a beautiful and cozy, spacious and ...none$0.00NaN2tI’m a well traveled fashion designer living in...NaNt10994095ff0.0San Francisco, California, United StatesAlineNaNhttps://a0.muscache.com/im/pictures/user/c8a9a...NaNNaN1/3/14https://a0.muscache.com/im/pictures/user/c8a9a...0.0https://www.airbnb.com/users/show/10994095['email', 'phone', 'offline_government_id', 'g...NaN40547706tI wont be available in person, the boat will b...ff{"SAN FRANCISCO"}NaN12/4/1937.81704NaNhttps://www.airbnb.com/rooms/40547706-122.36999San Francisco45304545.0NaN45303030.0NaNWelcome onboard a beautiful Sailboat!The Location : Treasure Island Marina offers ...NaNTreasure Island/YBINaNGuests can use the boat for sailing at their o...00https://a0.muscache.com/im/pictures/a653a8b8-9...100.0BoatfftNaNNaNNaNNaNNaNNaNNaNNaNEntire home/apt2.019120e+13500.0San Francisco, CAThe boat comes furnished with blankets, small ...NaNCASan Francisco, CA, United StatesExperience a beautiful and cozy, spacious and ...NaNDowntown San Francisco, The Embarcadero, Missi...NaNNaN94130
8531NaN3{TV,Wifi,Kitchen,Breakfast,"Free street parkin...44441.0Real Bed1.01.0220012/4/19todaymoderateSan FranciscoNaNUnited StatesUS(This same unit, listed as a 2 bedroom has 5 o...none$0.00NaN1tHi everyone, I'm Simon. I've been in the hospi...NaNt24087059tf3.0San Francisco, California, United StatesSimonPacific Heightshttps://a0.muscache.com/im/pictures/bee6e35f-d...100%within an hour11/23/14https://a0.muscache.com/im/pictures/bee6e35f-d...3.0https://www.airbnb.com/users/show/24087059['email', 'phone', 'reviews', 'jumio', 'govern...Please be considerate of the space and our nei...40560328fI am around always close by to assist with any...ft{"SAN FRANCISCO"}NaN12/4/1937.791791106861https://www.airbnb.com/rooms/40560328-122.43021San Francisco1125251125.0NaN1125222.0NaNLg 1 Bed/1 Bath w/ Living & Dining Rm in Top AreaThere are 2 parks in the neighborhood. There i...NaNPacific HeightsNaNNaN00https://a0.muscache.com/im/pictures/f5343fd9-b...295.0CondominiumfftNaNNaNNaNNaNNaNNaNNaNNaNEntire home/apt2.019120e+13NaNSan Francisco, CAThis very large 1 bedroom/1 bathroom/living ro...NaNCASan Francisco, CA, United States(This same unit, listed as a 2 bedroom has 5 o...NaNThere is always street parking in the immediat...NaNNaN94115
8532NaN1{Internet,Wifi,Kitchen,Gym,"Free street parkin...235252521.0Real Bed1.01.0817012/4/19todaystrict_14_with_grace_periodSan FranciscoNaNUnited StatesUSLocated in the heart of the Mission District, ...none$0.00NaN1tI love living in SF but I also love to travel....NaNt4856574ft6.0San Francisco, California, United StatesJeffMission Districthttps://a0.muscache.com/im/pictures/user/f4357...100%within an hour1/26/13https://a0.muscache.com/im/pictures/user/f4357...6.0https://www.airbnb.com/users/show/4856574['email', 'phone', 'reviews', 'jumio', 'offlin...NaN40569280tNaNft{"SAN FRANCISCO"}NaN12/4/1937.75857NaNhttps://www.airbnb.com/rooms/40569280-122.41479San Francisco11253011251125.0NaN1125303030.0NaNClean Spacious Room in Central SF Flat - 30 Da...In my totally biased opinion: the Mission dist...Mission DistrictMissionNaNNaN00https://a0.muscache.com/im/pictures/19d1f1e1-b...60.0HousefftNaNNaNNaNNaNNaNNaNNaNNaNPrivate room2.019120e+13NaNSan Francisco, CAI have custom designed this home for our famil...NaNCASan Francisco, CA, United StatesLocated in the heart of the Mission District, ...NaNNaNNaNNaN94110